40 Cheminformatics Jobs

About Us: InSilicoMinds is a leader in the application of computational modeling and simulation (CM&S) for pharmaceutical research and development. We focus on harnessing cutting-edge in silico technologies to streamline drug design, formulation development, and regulatory submissions. Our innovative approaches help to accelerate drug discovery while optimizing formulations and ensuring high-quality manufacturing processes. Position Overview: We are looking for a highly skilled and motivated Computational Chemistry Expert with hands-on experience in retrosynthesis and reaction simulation. The ideal candidate will have deep expertise in computational chemistry tools and software, with a focus on optimizing reaction pathways to achieve high yields, minimal impurities, and selective production of specific isomers and polymorphs. Key Responsibilities: Lead retrosynthesis projects aimed at developing efficient synthetic routes for pharmaceutical compounds. Simulate reaction pathways and optimize reaction conditions, including solvent selection, temperature, and reagent concentrations, to maximize desired product yield. Address challenges related to regioselectivity, stereoselectivity, and polymorphism, ensuring the selective formation of specific isomers and crystalline forms. Collaborate with cross-functional teams, including synthetic chemists and formulators, to translate computational insights into experimental protocols. Utilize advanced computational chemistry tools and software to predict reaction outcomes, impurity formation, and scalability of processes. Continuously explore new computational methodologies and contribute to the development of in silico tools and workflows within the organization. Present and defend findings and strategies in project meetings, contributing to decision-making processes. Qualifications: Ph.D./ masters in computational chemistry, Organic Chemistry, or a related field, with strong knowledge of retrosynthesis and reaction mechanism modeling. Proven experience in simulating chemical reactions and optimizing reaction parameters to improve yield, reduce impurities, and control isomer or polymorph formation. Proficiency in computational chemistry software, such as Gaussian, Schrdinger, ORCA, or similar tools. Familiarity with molecular modeling techniques, including quantum chemistry, molecular dynamics, and thermodynamic simulations. Strong analytical skills and problem-solving abilities with attention to detail. Excellent communication skills and ability to work in a collaborative, interdisciplinary team environment. Preferred Experience: Experience with cheminformatics tools and databases for reaction prediction. Knowledge of AI or machine learning applications in retrosynthesis or reaction optimization. Experience in the pharmaceutical or chemical industry, especially in synthetic route design or process optimization.,

Working at Freudenberg: "We will wow your world!" This is our promise. As a global technology group, we not only make the world cleaner, healthier, and more comfortable but also offer our 52,000 employees a networked and diverse environment where everyone can thrive individually. Be surprised and experience your own wow moments. Klber Lubrication, a company of the Freudenberg Group, is the global leader in specialty lubrication with manufacturing operations in North and South America, Europe, and Asia, subsidiaries in more than 30 different countries, and distribution partners in all regions of the world, supported by our HQs in Germany. We are passionate about innovative tribological solutions that help our customers to be successful. We supply products and services, many of them customized, in almost all industries from automotive to the wind energy markets. Some of your Benefits Diversity & Inclusion: We focus on providing an inclusive environment and recognize our diversity contributes to our success. Health Insurance: Rely on comprehensive services whenever you need it. Personal Development: We offer a variety of trainings to ensure you can develop in your career. Safe Environment: We strive to ensure safety remains a top priority and provide a stable environment for our employees. Sustainability & Social Commitment: We support social and sustainable projects and encourage employee involvement. Bangalore On-Site Klber Lubrication India Pvt. Ltd. You support our team as Statistical Analytics Engineer (F/M/D) Responsibilities Performs projects in statistics, data science, and artificial intelligence in the technical field of KL under the guidance of experts, evaluates, and comments on results. Implements data processes and data products into operations and works on their operation and optimization. Coordinates regularly with experts in statistics, data science, and artificial intelligence at KL. Maintains a balance between effort (time, cost) and expected benefit of incoming requests. Contributes ideas for KL-relevant developments and methods, especially in the field of data analysis and artificial intelligence, and implements them as needed. Supports the improvement and automation of processes/workflows in own & adjacent work areas through statistical methods and evaluations. Works on cross-functional project teams and projects with external partners. Keeps own expertise up to date (self-study, external training, meetings, specialist groups). Supports technical colleagues in the introduction, use, and quality assurance of data analysis tools. Presents contributions to statistics and data science in the context of Klber internal and customer training. Qualifications Engineering Graduate /Masters in Chemistry, Physics, or equivalent degree. Overall 7-10 years of experience in data modeling, analysis, and visualization in manufacturing or industrial environment. Completed higher education in science, focus on chemistry, physics, mathematics, or related discipline. Strong experience in methods for processing, evaluating, and modeling data. In-depth programming knowledge with a focus on data science and data engineering, preferably in Python. Experience using cheminformatics, materials informatics, generative AI, and machine learning. Experience in developing interactive data applications with frameworks like Shiny, Dash, or streamlit. Good knowledge of relational data (SQL), experience in tools like JupyterLab, Gitlab, Airflow, MLFlow, knowledge of chemical analysis and organic chemistry.,

Description Who is USP? The U.S. Pharmacopeial Convention (USP) is an independent scientific organization that collaborates with the world’s leading health and science experts to develop rigorous quality standards for medicines, dietary supplements, and food ingredients. At USP, we believe that scientific excellence is driven by a commitment to fairness, integrity, and global collaboration. This belief is embedded in our core value of Passion for Quality and is demonstrated through the contributions of more than 1,300 professionals across twenty global locations, working to strengthen the supply of safe, high-quality medicines worldwide. At USP, we value inclusive scientific collaboration and recognize that attracting diverse expertise strengthens our ability to develop trusted public health standards. We foster an organizational culture that supports equitable access to mentorship, professional development, and leadership opportunities. Our partnerships, standards, and research reflect our belief that ensuring broad participation in scientific leadership results in stronger, more impactful outcomes for global health. USP is proud to be an equal employment opportunity employer (EEOE) and is committed to ensuring fair, merit-based selection processes that enable the best scientific minds—regardless of background—to contribute to advancing public health solutions worldwide. We provide reasonable accommodations to individuals with disabilities and uphold policies that create an inclusive and collaborative work environment. Brief Job Overview This is an independent contributor scientific position in the Small Molecules Department (SM) reports to the Sr. Manager. The successful candidate will be responsible for creating, managing chemical structure files based on sponsor submission data to support the development of monographs for drug substances and associated dosage forms in the USP-NF. This role requires active communication with Small Molecules and other PUTs, Reference Standards Scientists, GSRS team, Reference Standards Laboratories (RSL), and Analytical Development Laboratories (ADL) and other departments such as Publications (PUBS), SCD, Procurement department. How will YOU create impact here at USP? As part of our mission to advance scientific rigor and public health standards, you will play a vital role in increasing global access to high-quality medicines through public standards and related programs. USP prioritizes scientific integrity, regulatory excellence, and evidence-based decision-making to ensure health systems worldwide can rely on strong, tested, and globally relevant quality standards. Additionally, USP’s People and Culture division, in partnership with the Equity Office, invests in leadership and workforce development to equip all employees with the skills to create high-performing, inclusive teams. This includes training in equitable management practices and tools to promote engaged, collaborative, and results-driven work environments. The Sr. Scientist I/II Has The Following Responsibilities Create and update chemical information files based on data submitted by external collaborators and sponsors. Review and validate chemical data for accuracy, consistency, and compliance with internal standards. Edit and manage chemical information using the GSRS platform and Excel-based tools. Collaborate with a team of scientists to support the development and continuous improvement of chemical information files. Utilize cheminformatics software (e.g., ChemDraw, ISIS) for developing chemical structures and other chemical information. Conduct comprehensive searches using chemical databases and tools such as SciFinder, ChemSpider, USAN, INN, and PubMed. Support literature and patent research using platforms like Reaxys and PubChem. Work closely with IT and data science teams to integrate chemical information systems with enterprise data platforms. Engage with USP staff, regulatory bodies, stakeholders, and other pharmacopeias to support monograph development. Collaborate with internal departments including Reference Standards Development (RSD), Analytical Development Laboratories (ADL), Publications, and Compendial Operations on monograph-related initiatives. Experience working with biologic molecules and excipients is a strong plus. Strong communication and collaboration skills across scientific and technical teams. Familiarity with regulatory and pharmacopeial standards and processes. Participate in cross-functional teams and contribute to strategic initiatives. Perform additional duties as assigned to support departmental goals. Who is USP Looking For? Experience Required The successful candidate will have a demonstrated understanding of our mission, commitment to excellence through inclusive and equitable behaviors and practices, ability to quickly build credibility with stakeholders, along with the following competencies and experience: Senior Scientist I: MSc - Organic Chemistry with minimum 11 to 13 years relevant experience; or Ph.D. degree in Organic Chemistry, or a related scientific field with 7 to 10 years. Senior Scientist II: MSc - Organic Chemistry with minimum 13 to 15 years relevant experience; or Ph.D. degree in Organic Chemistry, or a related scientific field with 10 to 13 years Additional Desired Preferences Desired preferences are to showcase any additional preferred levels of expertise to perform the role. Reminder: any items listed in this section are not requirements nor disqualifies for candidate consideration. Expert in naming organic compounds using the IUPAC naming convention Broad knowledge of organic chemistry and chemical reactions Experience using the United States Pharmacopeia or other global pharmacopieas is a plus. Experience with the Global Substance Registration System is a plus Previous experience working in the Pharmaceutical Industry is a plus Expertise in the degradation chemistry of organic compounds is a plus. Supervisory Responsibilities None, this is an individual contributor role. Benefits USP provides the benefits to protect yourself and your family today and tomorrow. From company-paid time off and comprehensive healthcare options to retirement savings, you can have peace of mind that your personal and financial well-being is protected. Job Category Chemistry & Scientific Standards Job Type Part-Time

As an Infrastructure Technology Consultant, you will be responsible for designing and implementing scalable infrastructure solutions using Azure to support scientific research projects. Your expertise in Azure Cosmos DB, MySQL, and MS SQL Server will be crucial in optimizing database performance and managing data storage solutions. In this hybrid role, you will collaborate with cross-functional teams to integrate cheminformatics and bioinformatics data into existing systems and ensure the reliability and security of our infrastructure. Your role will also involve monitoring system performance, troubleshooting issues, and minimizing downtime to enhance efficiency. Developing and maintaining documentation for infrastructure processes and procedures, implementing best practices for data management and storage, and conducting regular system audits to ensure compliance with industry standards and regulations are key responsibilities. You will support the deployment of new technologies and tools to enhance research capabilities, collaborate with researchers to understand their infrastructure needs, and provide tailored solutions. To excel in this role, you should demonstrate proficiency in Azure, Azure Cosmos DB, MySQL, and MS SQL Server, along with strong domain knowledge in cheminformatics and bioinformatics. Your problem-solving skills, attention to detail, ability to work effectively in a hybrid work model, communication, and collaboration skills are essential. Experience in managing and optimizing large-scale databases, a proactive approach to infrastructure management, and the ability to lead initiatives to improve infrastructure scalability and performance will be advantageous. Additionally, providing training and support to team members on infrastructure-related topics will be part of your responsibilities.,

Infrastructure Technology Consultant Hyderabad, India Job Summary Seeking an experienced Infrastructure Technology Consultant to join our team. The ideal candidate will have expertise in Azure Cosmos DB mySQL and MS SQL Server along with domain skills in Cheminformatics and Bioinformatics. This hybrid role involves working closely with cross-functional teams to optimize our infrastructure and support our scientific research initiatives. Responsibilities  Design and implement scalable infrastructure solutions using Azure to support scientific research projects.  Optimize database performance and manage data storage solutions using Azure Cosmos DB mySQL and MS SQL Server.  Collaborate with cross-functional teams to integrate cheminformatics and bioinformatics data into existing systems.  Provide technical expertise to ensure the reliability and security of our infrastructure.  Monitor system performance and troubleshoot issues to minimize downtime and enhance efficiency.  Develop and maintain documentation for infrastructure processes and procedures.  Implement best practices for data management and storage to support research and development activities.  Conduct regular system audits to ensure compliance with industry standards and regulations.  Support the deployment of new technologies and tools to enhance research capabilities.  Collaborate with researchers to understand their infrastructure needs and provide tailored solutions.  Lead initiatives to improve infrastructure scalability and performance.  Ensure seamless integration of new technologies into existing systems.  Provide training and support to team members on infrastructure-related topics. Qualifications  Demonstrate proficiency in Azure Azure Cosmos DB mySQL and MS SQL Server.  Possess strong domain knowledge in cheminformatics and bioinformatics.  Exhibit excellent problem-solving skills and attention to detail.  Show ability to work effectively in a hybrid work model.  Display strong communication and collaboration skills.  Have experience in managing and optimizing large-scale databases.  Demonstrate a proactive approach to infrastructure management.

Job Title: Chief Technology Officer (CTO) / Head of AI — Drug Discovery Location: Remote (U.S. preferred) / India–U.S. hybrid Company Stage: Pre-Series A | Venture-Backed Sector: Biotech | AI-driven Drug Discovery About the Company Our client is a venture-backed biotech startup developing a novel oral regenerative drug candidate with a strategic platform approach. Backed by a world-class scientific advisory board (Harvard, UCSD, Helmholtz), they are preparing for IND filing and early-stage clinical development. They are now building the AI engine to power their next generation of drug discovery, inspired by pioneers like Insilico Medicine and Absci, and are seeking a senior CTO or technical co-founder to lead this transformative vision. Role Overview The Chief Technology Officer (CTO) / Head of AI will lead the development of a cutting-edge, AI-first drug discovery platform, combining generative modeling, predictive analytics, cheminformatics, computational chemistry, and biophysics modeling. This is a high-impact, strategic role ideal for an individual passionate about reimagining the future of medicine discovery. Key Responsibilities Architect and build the company’s AI/ML infrastructure for target discovery, molecular generation, and therapeutic design Lead the development of generative models (e.g., diffusion models, VAEs, GNNs) for novel molecule and protein design Integrate cheminformatics, computational chemistry, and biophysics modeling tools into the drug discovery workflow Partner with biology and chemistry teams to incorporate wet-lab feedback into model pipelines Establish and scale data pipelines, FAIR data systems, and ML model governance Drive the AI strategy, team building, and long-term platform roadmap Represent technology leadership in discussions with investors and strategic partners Ideal Candidate Profile PhD in Machine Learning, Computational Biology, Bioinformatics, or related field 6+ years of experience applying AI/ML in life sciences, ideally within drug discovery Proven expertise with generative models and AI tools for drug design (e.g., GNNs, VAEs, LLMs, protein folding) Familiarity with cheminformatics, computational chemistry, or biophysics modeling platforms Demonstrated ability to scale ML projects in biotech or health-tech environments Excellent communication skills with investor-facing and partner-facing capabilities Nice to Have Startup or co-founder experience Contributions to open-source platforms (e.g., DeepChem, TorchDrug) Knowledge of drug repurposing, phenotypic screening, or multi-omic data fusion What’s on Offer Co-founder or executive-level equity opportunity Global exposure with a dual India–U.S. operational model A chance to build a differentiated, AI-powered biotech platform from the ground up Backing from a visionary founder and a world-class scientific advisory board

Life Science Analyst Location: Pune (Hybrid working) Status: Permanent, Full Time Package: Competitive Salary (fixed), 5 Day Working Week, Flexible Working (with one-off allowance), Development & Opportunity (Personal & Technical), Group Medical Policy, Group OPD Cover, Personal Accident Cover, Term Life Cover, 26 Days Leave + 9 Public Holidays + Buy & Sell Scheme, Referral Scheme. Why are we hiring a Life Science Analyst? We’re on the hunt for a Life Science Analyst as part of our company’s growth. As part of the Outsourcing Services team, this role is responsible for the following tasks in support of Target Safety Assessments (TSAs) by KnowledgeScan Services and other ISTS projects: Review, extract, and format data from literature and databases/websites Ability to evaluate and curate data and excerpts from relevant data sources into appropriate formats and systems Review data/excepts curated by others or software Who’s Instem? Well, we’re a global provider of bespoke industry-leading software solutions and services, which facilitate the pre-clinical, and clinical phases of the drug discovery process. We have over fifteen products in our portfolio, used by over 700 pharmaceutical clients (including all the top 20!). Instem is a unique, solutions-based organisation. We’ve doubled in size over the last 3 years through new business and product enhancement, but also via acquisition. Our 5-year growth plan is progressive, and we need you to help us reach that next level! What’s the culture/environment like? For a global business of over 300 staff, we very much have a family feel. You’ll be part of a friendly, communal, solution based, flexible environment, where you’ll feel empowered, valued and accountable. We’ll invest in you as a person and encourage you to take part in companywide workshops for wellbeing, mental health, critical conversations, and strengths. What are you responsible for? Review findings from a variety of different study types and data resources, including bioinformatics and cheminformatics databases, and scientific literature Develop the ability to understand customer and business needs Manage assigned tasks to achieve tight deadlines and communicate status Assist with research, analysis, and manipulation of complex data Contribute updates during team meetings Learn and develop professionally with every project. As ISTS evolves, support new services as needed Adherence to the Company’s Quality Management System to ensure that all work is handled Securely, Professionally and Diligently Skills, Knowledge & Experience: Bachelor’s degree in a life science subject Excellent written and oral communication No programming experience is required however it would be a distinct advantage to be comfortable with scripting languages such as R, Python and Perl Good computer literacy and technical skills using software Experience/proficiency with scientific concepts and comprehend scientific terminology Good interpersonal skills Knowledge of our Quality Management System and its application to tasks associated with this role Daily, millions of lives are improved by the Instem technologies and services that have been deployed by our clients. This is a fantastic opportunity for you to help save and prolong people’s lives, by doing what you do best! An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Instem stores and processes data using an Applicant Tracking System (ATS). For more information regarding our privacy policy use the following link: https://www.instem.com/privacy/ #LI-PD #LI-HYBRID

Life Science Analyst Location: Pune (Hybrid working) Status: Permanent, Full Time Package: Competitive Salary (fixed), 5 Day Working Week, Flexible Working (with one-off allowance), Development & Opportunity (Personal & Technical), Group Medical Policy, Group OPD Cover, Personal Accident Cover, Term Life Cover, 26 Days Leave + 9 Public Holidays + Buy & Sell Scheme, Referral Scheme. Why are we hiring a Life Science Analyst? We’re on the hunt for a Life Science Analyst as part of our company’s growth. Responsibilities As part of the Outsourcing Services team, this role is responsible for the following tasks in support of Target Safety Assessments (TSAs) by KnowledgeScan Services and other ISTS projects: Review, extract, and format data from literature and databases/websites Ability to evaluate and curate data and excerpts from relevant data sources into appropriate formats and systems Review data/excepts curated by others or software Who’s Instem? Well, we’re a global provider of bespoke industry-leading software solutions and services, which facilitate the pre-clinical, and clinical phases of the drug discovery process. We have over fifteen products in our portfolio, used by over 700 pharmaceutical clients (including all the top 20!). Instem is a unique, solutions-based organisation. We’ve doubled in size over the last 3 years through new business and product enhancement, but also via acquisition. Our 5-year growth plan is progressive, and we need you to help us reach that next level! What’s the culture/environment like? For a global business of over 300 staff, we very much have a family feel. You’ll be part of a friendly, communal, solution based, flexible environment, where you’ll feel empowered, valued and accountable. We’ll invest in you as a person and encourage you to take part in companywide workshops for wellbeing, mental health, critical conversations, and strengths. What are you responsible for? Review findings from a variety of different study types and data resources, including bioinformatics and cheminformatics databases, and scientific literature Develop the ability to understand customer and business needs Manage assigned tasks to achieve tight deadlines and communicate status Assist with research, analysis, and manipulation of complex data Contribute updates during team meetings Learn and develop professionally with every project. As ISTS evolves, support new services as needed Adherence to the Company’s Quality Management System to ensure that all work is handled Securely, Professionally and Diligently Skills, Knowledge & Experience Bachelor’s degree in a life science subject Excellent written and oral communication No programming experience is required however it would be a distinct advantage to be comfortable with scripting languages such as R, Python and Perl Good computer literacy and technical skills using software Experience/proficiency with scientific concepts and comprehend scientific terminology Good interpersonal skills Knowledge of our Quality Management System and its application to tasks associated with this role Daily, millions of lives are improved by the Instem technologies and services that have been deployed by our clients. This is a fantastic opportunity for you to help save and prolong people’s lives, by doing what you do best! An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Instem stores and processes data using an Applicant Tracking System (ATS). For more information regarding our privacy policy use the following link: https://www.instem.com/privacy/

Job Summary We are seeking a Technical Lead with 6 to 9 years of experience to join our dynamic team. The ideal candidate will possess expertise in Service Desk and UAM with a strong background in computational biology cheminformatics or bioinformatics. This hybrid role offers the opportunity to work in a collaborative environment driving innovation and efficiency in day-to-day operations. Responsibilities Lead the service desk team to ensure efficient and effective resolution of user issues and requests. Oversee the implementation and management of user access management (UAM) protocols to maintain security and compliance. Provide technical guidance and support to team members fostering a culture of continuous learning and improvement. Collaborate with cross-functional teams to integrate computational biology cheminformatics and bioinformatics solutions into existing systems. Develop and maintain documentation for service desk processes and procedures to ensure consistency and clarity. Monitor and analyze service desk performance metrics to identify areas for improvement and implement corrective actions. Ensure timely and accurate communication with stakeholders regarding service desk activities and outcomes. Drive the adoption of best practices in service desk operations to enhance user satisfaction and operational efficiency. Support the development and implementation of training programs for service desk staff to enhance their technical skills and knowledge. Facilitate the resolution of complex technical issues by coordinating with relevant teams and leveraging domain expertise. Contribute to the strategic planning and execution of IT initiatives that align with organizational goals and objectives. Ensure compliance with industry standards and regulations in all service desk activities. Utilize domain expertise in computational biology cheminformatics or bioinformatics to drive innovation and enhance service offerings. Qualifications Possess a strong background in service desk operations and user access management. Demonstrate expertise in computational biology cheminformatics or bioinformatics. Exhibit excellent problem-solving and analytical skills. Show proficiency in managing and leading technical teams. Display strong communication and interpersonal skills. Have a proven track record of implementing process improvements. Be adept at working in a hybrid work model.

Job title: Business Analyst Location: Hyderabad, India About The Job Sanofi is a global life sciences company committed to improving access to healthcare and supporting the people we serve throughout the continuum of care. From prevention to treatment, Sanofi transforms scientific innovation into healthcare solutions, in human vaccines, rare diseases, multiple sclerosis, oncology, immunology, infectious diseases, diabetes and cardiovascular solutions and consumer healthcare. More than 110,000 people in over 100 countries at Sanofi are dedicated to making a difference on patients’ daily life, wherever they live and enabling them to enjoy a healthier life. As a company with a global vision of drug development and a highly regarded corporate culture, Sanofi is recognized as one of the best pharmaceutical companies in the world and is pioneering the application of Artificial Intelligence (AI) with strong commitment to develop advanced data standards to increase reusability & interoperability and thus accelerate impact on global health. The R&D Data Office serves as a cornerstone to this effort. Our team is responsible for cross-R&D data strategy, governance, and management. We sit in partnership with Business and Digital, and drive data needs across priority and transformative initiatives across R&D. Team members serve as advisors, leaders, and educators to colleagues and data professionals across the R&D value chain. As an integral team member, you will be responsible for defining how R&D's structured, semi-structured and unstructured data will be stored, consumed, integrated / shared and reported by different end users such as scientists, clinicians, and more. You will also be pivotal in the development of sustainable mechanisms for ensuring data are FAIR (findable, accessible, interoperable, and reusable). Position Summary Business analysts in the R&D Data Office play a pivotal role in translating business needs into use cases and requirements that are utilized by data solutioning teams. This role must have a strong understanding of R&D business processes and should be familiar with end-to-end data practices. The business analyst is a highly collaborative role and is expected to work across functions and capabilities to drive the best outcome for R&D business. Main Responsibilities Work in collaboration with R&D Data Office leadership (including the Data Capability and Strategy Leads), business, R&D Digital subject matter experts and other partners to: Understand the data-related needs for various cross-R&D capabilities (e.g., data catalog, master and reference data management, data products, etc.) and associated initiatives Identify and document use cases based on data needs tied to R&D business process, objectives, or initiatives Design and document business cases to drive successful adoption of data initiatives and capabilities Define and document business and technical requirements based on R&D business needs Perform business-to-system analysis and support assessment of vendors based on business needs Support communications and training needs for data capabilities as needed Understand data and technology trends in R&D and pharma overall Understand data governance policies, standards and procedures for R&D data Educate and guide R&D teams on standards and information management principles, methodologies, best practices, etc. Supports business case development, requirement identification, and use case development for business functions Captures and documents business process definition, process performance, process execution, process management, and continuous improvement opportunities Supports Data Stewards and Business Capability Leads in defining the key master and reference data elements for business processes About You Experience years of experience in business, data management, information architecture, technology or another related field Strong understanding of data value statements Experience with FAIR data principles Demonstrated ability to understand end-to-end data use and business needs Knowledge of R&D business process and data (e.g., across research, clinical, regulatory, etc.) Must have played the role of a business translator bridging IT and R&D business teams in a project of some significance in size and impact Demonstrated strong attention to detail, quality, time management and customer focus Excellent written and oral communications skills Strong networking, influencing and negotiating skills and superior problem-solving skills Demonstrated willingness to make decisions and to take responsibility for such Excellent interpersonal skills (team player) Education: Bachelor’s or master’s degree in Life Sciences disciplines (Biology, Chemistry, Bioinformatics, Cheminformatics, etc.) Languages: English null +

Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Scientific Business Analyst (Senior Associate) – Large Molecule Discovery What You Will Do Let’s do this. Let’s change the world. In this vital role you will work closely with Amgen Research partners and Technology peers to ensure that the technology/ data needs for drug discovery research are translated into technical requirements for solution implementation. The role demonstrates scientific domain and business process expertise to detail product requirements as epics and user stories, along with supporting artifacts like business process maps, use cases, and test plans for the software development teams. This enables the delivery team to estimate, plan, and commit to delivery with high confidence and identify test cases and scenarios to ensure the quality and performance of IT Systems. You will join a multi-functional team of scientists and software professionals that enables technology and data capabilities to evaluate drug candidates and assess their abilities to affect the biology of drug targets. This team implements and maintains the software and data ecosystem underpinning our Large Molecule Discovery pipeline. You will collaborate with Product Owners and developers to maintain an efficient and consistent process, ensuring quality work from the team. You will implement and manage scientific software platforms across the research informatics ecosystem, and provide technical support, training, and infrastructure management, and ensure it meets the needs of our Amgen Research community. Roles & Responsibilities: Function as a Scientific Business Systems Analyst within a Scaled Agile Framework (SAFe) product team Function as a Scrum Master within the product team to help facilitate agile ceremonies Serve as a liaison between global Research Informatics functional areas and global research scientists, prioritizing their needs and expectations Manage a suite of custom internal platforms, commercial off-the-shelf (COTS) software, and systems integrations Lead the Large Molecule Discovery technology ecosystem and ensure that the platform meets their requirements for data analysis and data integrity Translate complex scientific and technological needs into clear, actionable requirements for development teams Develop and maintain a product roadmap that clearly outlines the planned features and enhancements, timelines, and achievements Identify and manage risks associated with the systems, including technological risks, scientific validation, and user acceptance Develop documentations, communication plans and training plans for end users Ensure scientific data operations are scoped into building Research-wide Artificial Intelligence/Machine Learning capabilities Ensure operational excellence, cybersecurity and compliance. Collaborate with geographically dispersed teams, including those in the US and other international locations. Foster a culture of collaboration, innovation, and continuous improvement. What We Expect Of You We are all different, yet we all use our unique contributions to serve patients. Master’s degree and 1 to 3 years of experience in Life Sciences, Computer Science, IT, Computational Chemistry/Cheminformatics, Computational Biology/Bioinformatics or related field OR Bachelor’s degree and 3 to 5 years of experience in Life Sciences, Computer Science, IT, Computational Chemistry/Cheminformatics, Computational Biology/Bioinformatics or related field OR Diploma and 7 to 9 years of experience in Life Sciences, Computer Science, IT, Computational Chemistry/Cheminformatics, Computational Biology/Bioinformatics or related field Preferred Qualifications: 3+ years of experience in designing and supporting biopharma scientific software platforms. Functional Skills: Must-Have Skills: Demonstrated expertise in a scientific domain area and related technology needs Experience with writing user requirements and acceptance criteria in agile project management systems such as JIRA. Experience in configuration and administration of LIMS/ELN platforms (e.g. Benchling), Discovery software tools (e.g. Geneious, Genedata Screener) and Instrument Automation and Analysis platforms Experience using platforms such as Spotfire, Tableau, Power BI, etc., to build dashboards and reports and understanding of basic data querying using SQL, Databricks, etc. Good-to-Have Skills: Experience in the implementation of scientific software platforms, Electronic Lab Notebook (ELN), or Laboratory Information Management Systems (LIMS) Knowledge of the antibody discovery design, make, test, and analyze cycle Experience in AI and machine learning for drug discovery research and preclinical development Experience with demonstrating LLM tools to accelerate software development processes Experience with cloud (e.g. AWS) and on-premise infrastructure In-depth knowledge of Agile processes and principles for coordinated solutions and teams via SAFe Knowledge of business analysis standard methodologies, DevOps, Continuous Integration, and Continuous Delivery methodology Professional Certifications: SAFe for Teams certification (preferred) SAFe Scrum Master or RTE certification (preferred) Soft Skills: Able to work under minimal supervision Excellent analytical and gap/fit assessment skills Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills What You Can Expect Of Us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Associate Scientific Business Analyst – Biological Studies (LIMS) What You Will Do Let’s do this. Let’s change the world. In this vital role you will be working closely with Amgen Research partners and Technology peers to ensure that the technology/ data needs for drug discovery research are translated into technical requirements for solution implementation. The role leverages scientific domain and business process expertise to detail product requirements as epics and user stories, along with supporting artifacts like business process maps, use cases, and test plans for the software development teams. This enables the delivery team to estimate, plan, and commit to delivery with high confidence and identify test cases and scenarios to ensure the quality and performance of IT Systems. Function as a Scientific Business Systems Analyst within a Scaled Agile Framework (SAFe) product team Serve as a liaison between global Research Informatics functional areas and global research scientists, prioritizing their needs and expectations Handle a suite of custom internal platforms, commercial off-the-shelf (COTS) software, and systems integrations Lead the technology ecosystem for in vivo study data management and ensure that the platform meets their requirements for data analysis and data integrity Translate complex scientific and technological needs into clear, actionable requirements for development teams Develop and maintain a product roadmap that clearly outlines the planned features and enhancements, timelines, and breakthroughs Identify and handle risks associated with the systems, including technological risks, scientific validation, and user acceptance Develop documentations, communication plans and training plans for end users Ensure scientific data operations are scoped into building Research-wide Artificial Intelligence/Machine Learning capabilities Ensure operational excellence, cybersecurity and compliance. Collaborate with geographically dispersed teams, including those in the US and other international locations. Develop a culture of collaboration, innovation, and continuous improvement. What We Expect Of You We are all different, yet we all use our unique contributions to serve patients. You will join a multi-functional team of scientists and software professionals that enables technology and data capabilities to evaluate drug candidates and assess their abilities to affect the biology of drug targets. This team implements LIMS platforms that enable the capture, analysis, storage, and report of pre-clinical and clinical studies as well as those that manage biological sample banks. You will collaborate with Product Owners and developers to maintain an efficient and consistent process, ensuring quality deliverables from the team. You will implement and manage scientific software platforms across the research informatics ecosystem, and provide technical support, training, and infrastructure management, and ensure it meets the needs of our Amgen Research community. Basic Qualifications: Bachelor’s degree and 2 to 6 years of experience in Life Sciences, Computer Science, IT, Computational Chemistry/Cheminformatics, Computational Biology/Bioinformatics or related field Demonstrated expertise in a scientific domain area and related technology needs Excellent problem-solving skills and a passion for tackling complex challenges in drug discovery with technology and data Experience with writing user requirements and acceptance criteria in agile project management systems such as JIRA Experience in configuration and administration of LIMS platforms such as STARLIMS, Watson LIMS, LabVantage, etc. Preferred Qualifications: 1+ years of experience in implementing and supporting LIMS platforms Experience in the implementation of scientific software platforms, Electronic Lab Notebook (ELN), or Laboratory Information Management Systems (LIMS) Experience handling GxP data and system validation, and knowledge of regulatory requirements affecting laboratory data (e.g., FDA 21 CFR Part 11, GLP, GCP) Knowledge of bioanalytical workflows and/or biospecimen management Experience in AI and machine learning for drug discovery research and preclinical development Experience with cloud (e.g. AWS) and on-premise infrastructure In-depth knowledge of Agile processes and principles for coordinated solutions and teams via SAFe Knowledge of business analysis best practices, DevOps, Continuous Integration, and Continuous Delivery methodology Professional Certifications: SAFe for Teams certification (preferred) Soft Skills: Able to work under minimal supervision Excellent analytical and gap/fit assessment skills Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills What You Can Expect Of Us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Specialist IS Business Systems Analyst – Advanced Scientific Computing What You Will Do Let’s do this. Let’s change the world. In this vital role you will require expertise in biopharma scientific domains as well as compute systems solution delivery. Collaborate with geographically dispersed teams, including those in the US, EU and other international locations. Partner and ensure alignment of the Amgen India DTI site leadership and follow global standards and practices. Provide domain expertise for Research Advanced Scientific Computing within a Scaled Agile Framework (SAFe) product team Serve as Agile team scrum master or project manager as needed Serve as a liaison between Global Technology functional areas and Global Research scientists, prioritizing their needs and expectations Create functional analytics dashboards and fit-for-purposes applications for progress tracking and performance measurements (e.g. PowerBI, Tableau, Spotfire) Manage a suite of custom internal platforms, commercial off-the-shelf (COTS) software, and systems integrations Translate complex scientific and technological needs into clear, actionable requirements for development teams Develop and maintain release deliverables that clearly outlines the planned features and enhancements, timelines, and milestones Identify and manage risks associated with the systems, including technological risks, scientific validation, and user acceptance Develop documentations, communication plans and training plans for end users Ensure scientific compute systems operations are scoped into building Research-wide Artificial Intelligence/Machine Learning capabilities Ensure operational excellence, cybersecurity and compliance. What We Expect Of You We are all different, yet we all use our unique contributions to serve patients. The ideal candidate will have a strong background in the end-to-end infrastructure DevOps lifecycle and be a Scaled Agile practitioner, coupled with change management and transformation experience. This role demands the ability to deliver against key organizational strategic initiatives, foster a collaborative environment, and deliver high-quality results in a matrixed organizational structure. Basic Qualifications: Doctorate degree / Master's degree / Bachelor's degree with 8 to 13 years of experience in Information Systems Preferred Qualifications: BS, MS or PhD in Bioinformatics, Computational Biology, Computational Chemistry, Life Sciences, Computer Science or Engineering 3+ years of experience in implementing and supporting biopharma scientific computing environments or systems Functional Skills: Must-Have Skills: Excellent problem-solving skills and a passion for tackling complex challenges in drug discovery with technology and data Excellent communication skills and experience creating impactful slide decks with data Collaborative spirit and effective communication skills to work seamlessly in a cross-functional team Familiarity with scientific compute applications like cheminformatics, bioinformatics, structural biology and molecular modelling tools including Schrodinger, Cryosparc, GROMACS Good-to-Have Skills: Demonstrated expertise in a scientific domain area and related technology needs Familiarity with documentations, specifications, pricing estimates for cloud (e.g. AWS) and on-premise compute infrastructure including compute (e.g. EC2) and storage (e.g. S3) components Familiarity with advanced analytics, AI/ML and scientific computing infrastructure, such as High Performance Compute (HPC) environments and clusters (e.g SLURM, Kubernetes) Experience with scientific and technical team collaborations, ensuring seamless coordination across teams and driving the successful delivery of technical projects Ability to deliver features meeting research user demands using Agile methodology An ongoing commitment to learning and staying at the forefront of AI/ML advancements. We understand that to successfully sustain and grow as a global enterprise and deliver for patients — we must ensure a diverse and inclusive work environment. Professional Certifications (please mention if the certification is preferred or mandatory for the role): SAFe for Teams certification (preferred) SAFe Scrum Master or similar (preferred) Soft Skills: Strong transformation and change management experience. Exceptional collaboration and communication skills. High degree of initiative, self-motivation and learning agility Strong presentation and public speaking skills. What You Can Expect Of Us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

India - Hyderabad JOB ID: R-218206 ADDITIONAL LOCATIONS: India - Hyderabad WORK LOCATION TYPE: On Site DATE POSTED: Jun. 27, 2025 CATEGORY: Information Systems Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Specialist IS Business Systems Analyst – Advanced Scientific Computing What you will do Let’s do this. Let’s change the world. In this vital role you will require expertise in biopharma scientific domains as well as compute systems solution delivery. Collaborate with geographically dispersed teams, including those in the US, EU and other international locations. Partner and ensure alignment of the Amgen India DTI site leadership and follow global standards and practices. Provide domain expertise for Research Advanced Scientific Computing within a Scaled Agile Framework (SAFe) product team Serve as Agile team scrum master or project manager as needed Serve as a liaison between Global Technology functional areas and Global Research scientists, prioritizing their needs and expectations Create functional analytics dashboards and fit-for-purposes applications for progress tracking and performance measurements (e.g. PowerBI, Tableau, Spotfire) Manage a suite of custom internal platforms, commercial off-the-shelf (COTS) software, and systems integrations Translate complex scientific and technological needs into clear, actionable requirements for development teams Develop and maintain release deliverables that clearly outlines the planned features and enhancements, timelines, and milestones Identify and manage risks associated with the systems, including technological risks, scientific validation, and user acceptance Develop documentations, communication plans and training plans for end users Ensure scientific compute systems operations are scoped into building Research-wide Artificial Intelligence/Machine Learning capabilities Ensure operational excellence, cybersecurity and compliance. What we expect of you We are all different, yet we all use our unique contributions to serve patients. The ideal candidate will have a strong background in the end-to-end infrastructure DevOps lifecycle and be a Scaled Agile practitioner, coupled with change management and transformation experience. This role demands the ability to deliver against key organizational strategic initiatives, foster a collaborative environment, and deliver high-quality results in a matrixed organizational structure. Basic Qualifications: Doctorate degree / Master's degree / Bachelor's degree with 8 to 13 years of experience in Information Systems Preferred Qualifications: BS, MS or PhD in Bioinformatics, Computational Biology, Computational Chemistry, Life Sciences, Computer Science or Engineering 3+ years of experience in implementing and supporting biopharma scientific computing environments or systems Functional Skills: Must-Have Skills: Excellent problem-solving skills and a passion for tackling complex challenges in drug discovery with technology and data Excellent communication skills and experience creating impactful slide decks with data Collaborative spirit and effective communication skills to work seamlessly in a cross-functional team Familiarity with scientific compute applications like cheminformatics, bioinformatics, structural biology and molecular modelling tools including Schrodinger, Cryosparc, GROMACS Good-to-Have Skills: Demonstrated expertise in a scientific domain area and related technology needs Familiarity with documentations, specifications, pricing estimates for cloud (e.g. AWS) and on-premise compute infrastructure including compute (e.g. EC2) and storage (e.g. S3) components Familiarity with advanced analytics, AI/ML and scientific computing infrastructure, such as High Performance Compute (HPC) environments and clusters (e.g SLURM, Kubernetes) Experience with scientific and technical team collaborations, ensuring seamless coordination across teams and driving the successful delivery of technical projects Ability to deliver features meeting research user demands using Agile methodology An ongoing commitment to learning and staying at the forefront of AI/ML advancements. We understand that to successfully sustain and grow as a global enterprise and deliver for patients — we must ensure a diverse and inclusive work environment. Professional Certifications (please mention if the certification is preferred or mandatory for the role): SAFe for Teams certification (preferred) SAFe Scrum Master or similar (preferred) Soft Skills: Strong transformation and change management experience. Exceptional collaboration and communication skills. High degree of initiative, self-motivation and learning agility Strong presentation and public speaking skills. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. and make a lasting impact with the Amgen team. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Join us and contribute to the discovery of medicines that will impact lives! Hyderabad, India | Hybrid | Full-Time About Aganitha High-throughput experimentation, computational & data-driven modeling, and the advent of the Open Science era are fundamentally transforming research, discovery, and development across diverse industries. Aganitha is at the forefront of co-innovation with global clients, shaping next-generation R&D (aganitha.ai). While our primary client base has been in global Biopharma, we are actively expanding our collaborations into consumer brands and, in the near future, the materials design industry. As a Scientist at Aganitha, you will be instrumental in leveraging cutting-edge advances in computational chemistry, materials science, soft matter physics, AI/ML, and high-performance computing in the Cloud. You will contribute to accelerating design and development across a spectrum of applications, including but not limited to: small molecule therapeutics, biologics, gene, cell & RNA therapies within Biopharma; new product formulations for consumer brands; and novel materials for various industrial applications. You will collaborate closely with research leaders at our client organizations, identifying their needs and designing innovative solutions. Working with our internal technical and scientific teams, you will drive solutions from concept to launch and growth. You may also interact with external vendors to coordinate experimental validation of the in silico solutions developed at Aganitha. To excel in this role, you must possess a strong interest in engaging with customers to apply the latest scientific and technological advancements for R&D acceleration, thereby contributing to Aganitha’s growth. Key Responsibilities Design and develop AI/ML models to solve complex problems in computational chemistry, such as predicting molecular properties, material behaviors, or reaction outcomes. Curate, process, and analyze scientific datasets from various sources, including literature and experimental data, ensuring data quality and readiness for model training. Develop intelligent featurization strategies that accurately represent chemical structures, physical properties, or biological interactions, drawing upon your scientific understanding. Implement, train, and evaluate cutting-edge Machine Learning and Deep Learning algorithms (e.g., CNNs, RNNs, LSTMs, Transformer architectures) to build robust predictive models. Rigorously validate models against client-provided data and established benchmarks, ensuring their accuracy, generalizability, and utility. Translate complex technical and scientific findings into clear, actionable insights for both technical and non-technical stakeholders. Collaborate effectively with computational chemists, data scientists, and wet lab scientists to define project requirements, iterate on solutions, and ensure successful deployment. Stay abreast of the latest advancements in AI/ML, computational chemistry, and relevant scientific domains, continuously seeking opportunities to apply new methodologies. Qualifications PhD, post-doctoral research, or equivalent higher studies in Computational Chemistry, Cheminformatics, Materials Science, Chemical Engineering, Biochemistry, or a closely related scientific discipline. Strong foundational understanding of the scientific principles underlying computational chemistry, materials science, or related fields (e.g., colloidal chemistry, polymer science, surfactant chemistry, soft condensed matter physics, etc.). Solid mathematical intuition of Machine Learning algorithms, including Deep Learning architectures such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), LSTMs, and Transformer architectures. Proficiency in modular, typed, and object-oriented Python programming. A high-level understanding of the ML/DL project lifecycle , from data preparation and feature engineering through model development, training, evaluation, and deployment. Excellent problem-solving skills and the ability to apply critical thinking to complex scientific and technical challenges. Strong verbal and written communication skills , with the ability to effectively communicate technical concepts to diverse audiences. Desired Technical Skills/Expertise Hands-on experience with molecular dynamics software packages (e.g., GROMACS, NAMD, AMBER, CHARMM,OpenMM, etc.). Familiarity with quantum chemistry software (e.g., PySCF, ORCA, NWChem, Quantum Espresso, etc.). Proficiency in at least one scripting/programming language, preferably Python, for data analysis, automation, and workflow development. Understanding of biomolecular docking and virtual screening methodologies. Exposure to data visualization tools for scientific data. Added Advantages Experience in effectively building and deploying ML solutions using popular frameworks such as PyTorch, TensorFlow, Keras, or scikit-learn. Proficiency in shell scripting. Big Plus Exposure to large language models (LLMs) such as ChatGPT, Claude, or Gemini, and practical experience in utilizing such tools for day-to-day work (e.g., writing research reports, understanding new concepts, generating code).

Overview: Molecule AI, an innovative AI-based drug discovery company, seeks a Computational Scientist skilled in molecular modelling, molecular dynamics (MD) simulations, and machine learning for drug discovery. This role involves developing and evaluating computational methods for molecular property prediction, utilising molecular modelling for drug discovery, and working with AI models for de novo drug design. Relevant areas of experience include the direct application of MD to drug discovery, computer-aided drug design, molecular modelling and medicinal chemistry. Specific knowledge of any of these areas is less critical, and higher weightage will be placed on solid research skills and a history of innovation and accomplishment. Qualifications: Ph.D./M.Sc. from a reputed institution or university in a related field with a focus on drug discovery. Post-doctoral experience is desirable but not mandatory. Expertise in molecular modelling, MD simulations, and free energy calculations. Proficient in Python. Strong problem-solving and communication skills. Key Responsibilities: Computational Chemist in Drug Discovery 1. Molecular Modeling & Drug Design Conduct molecular docking (AutoDock, Unidock) to predict binding modes of small molecules. Perform virtual screening of compound libraries to identify potential hits. Use molecular dynamics (MD) simulations (GROMACS, AMBER, etc) to study protein-ligand interactions. Perform structure-based drug design (SBDD) and ligand-based drug design (LBDD). Predict ADMET (Absorption, Distribution, Metabolism, Excretion, Toxicity) properties using machine learning algorithms & AI-based approaches. 2. Cheminformatics & Data Analysis Analyze structure-activity relationships (SAR) to guide medicinal chemistry efforts. Apply machine learning (ML) & AI-based approaches for predictive modeling (QSAR, deep learning). Work with large chemical databases (ChEMBL, PubChem, ZINC) to extract relevant data. Develop pharmacophore models to identify key molecular features for activity. 3. Protein Modeling & Bioinformatics Perform homology modeling for proteins with unknown structures. Predict protein-ligand & protein-protein interactions. Analyze protein dynamics & conformational changes relevant to drug binding. 4. Collaboration with Experimental Teams Work closely with medicinal chemists to optimize lead compounds. Support biologists & pharmacologists in interpreting biochemical assay data. Validate computational predictions with experimental results (X-ray crystallography, NMR, biochemical assays). 5. Software & Tools Development Develop custom scripts (Python, & others) for data analysis & automation. Use quantum mechanics/molecular mechanics (QM/MM) for detailed electronic structure analysis. Stay updated with emerging computational tools (AlphaFold, DeepChem, DiffDock). 6. Documentation & Reporting Prepare technical reports & presentations for stakeholders. Maintain detailed records of computational experiments. Contribute to scientific publications and patent applications. The right candidate will have 2-5 years of industrial work experience and strong coding ability. **Interested candidates can send their CVs to info@moleculeai.com or priyanka.balodi@moleculeai.net to apply for this position.

Research Engineer, Applied Research (Biotech AI – Drug Discovery) About the Company Quantiphi is an award-winning AI-first digital engineering company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed. Quantiphi has seen 2.5x growth YoY since its inception in 2013 to 3500+ team members globally. For more details, please visit our website or LinkedIn page. About the Applied Research Unit Applied Research is an R&D practice at Quantiphi focused on advancing the frontiers of AI technologies with Applied Machine Learning at its core. We ideate and build novel solutions to high-impact, cutting-edge challenges, with a focus on advanced prototyping and scalable proof of concepts. Within this unit, the AI-Accelerated Drug Discovery practice is a key pillar that aims to apply state-of-the-art AI methodologies to revolutionize the way new therapeutics are discovered and developed. We are committed to driving meaningful scientific breakthroughs by combining strong AI research with deep cross-disciplinary collaboration. Job Description Role Level: Research Engineer Work Location: India Resource Count: 2 The Role This is a unique opportunity to work on scientifically impactful problems at the intersection of AI and biotechnology within Quantiphi Applied Research team. In this role, you will work on the development of core AI models and algorithms aimed at accelerating the drug discovery process. The position focuses on advancing foundational AI techniques such as generative modeling, optimization, and reinforcement learning, applied to molecular and bio-pharmaceutical data. The position involves working with a diverse, lively, and proactive group of nerds who are constantly raising the bar on translating the latest AI research in Healthcare and Life Sciences into tangible reusable assets for the community. Hence this would require a high level of conceptual understanding, attention to detail and agility in terms of adaptation to new technologies. While prior experience in the biotech or life sciences domain is highly valued and will elevate the candidate profile, we are equally open to exceptional AI/ML researchers from other domains who are excited to explore and learn the nuances of this rapidly growing field . Please note: This is a core AI research role, not a software engineering or system integration position. We are particularly keen to engage with candidates focused on scientific AI innovation rather than application development or LLM/GenAI-centric workflows . Responsibilities Stay ahead of the AI research curve, focusing on foundational AI methodologies applicable to drug discovery and molecular design. Build rapid prototypes, conduct detailed experimental studies, and develop advanced AI models in areas such as generative modeling, reinforcement learning, graph-based learning, and molecular property prediction. Work closely with interdisciplinary teams including biologists, chemists, and life science domain experts to design scientifically sound AI approaches. Contribute to Quantiphi IP portfolio through the development of novel algorithms, proof of concepts, and potential publications. Drive thought leadership through documentation, knowledge dissemination, and participation in conferences, blogs, webinars, and publications. Publish Research papers in prestigious Conferences and Journals Requirements Must Have: Master’s degree, PhD, or equivalent experience in Computer Science, Artificial Intelligence, Machine Learning, Applied Mathematics, or related fields. Minimum work experience required : from new graduates to 3+ yrs of research experience post graduation (in ML research) Strong foundation in AI/ML concepts with hands-on experience in model development, experimental design, and large-scale data analysis. Excellent in-depth understanding of ML concepts and the respective underlying mathematical know-how. Working knowledge of using NLP with biological sequences. Solid research mindset with a track record of working on complex AI problems—experience with drug discovery datasets is a plus but not a prerequisite. Excellent programming skills in Python, with experience using AI/ML frameworks like PyTorch or TensorFlow. Hands-on experience in developing and deploying models with various deep learning architectures in multiple ML areas like Computer-Vision, NLP, Statistics etc Ability to independently learn new scientific domains and apply AI techniques to novel bio-pharmaceutical problems. Strong communication skills with the ability to present complex ideas in an accessible format across audiences. Ability to translate abstract highlights into understandable insights in multiple knowledge-dissemination formats like blogs, presentations, paper-publications, tutorials and webinars Good to Have: Prior exposure to molecular datasets, cheminformatics, bioinformatics, or life sciences. Hands-on experience with insilico techniques in drug discovery Hands-on experience with HPC workflows with genome datasets Familiarity with generative chemistry models, graph neural networks, reinforcement learning, or multi-objective optimization. Demonstrated industry research experience will be considered as an additional bonus. Research publications in AI/ML conferences such as NeurIPS, ICML, ICLR, or relevant bioinformatics journals Experience with cloud environments like GCP or AWS and scalable model training. Strong classical education on math/physics/mechanics/CS/Engineering concepts will also be an advantage. Why Join Us? Opportunity to work at the cutting edge of AI and biotechnology, solving problems with real-world scientific impact. Exposure to interdisciplinary teams and a culture that encourages continuous learning and exploration. Contribute to an R&D environment that values curiosity, innovation, and the advancement of AI for good. Show more Show less

Job title: Business Capability Manager Associate Location: Hyderabad, India About The Job Sanofi is a global life sciences company committed to improving access to healthcare and supporting the people we serve throughout the continuum of care. From prevention to treatment, Sanofi transforms scientific innovation into healthcare solutions, in human vaccines, rare diseases, multiple sclerosis, oncology, immunology, infectious diseases, diabetes and cardiovascular solutions and consumer healthcare. More than 110,000 people in over 100 countries at Sanofi are dedicated to making a difference on patients’ daily life, wherever they live and enabling them to enjoy a healthier life. As a company with a global vision of drug development and a highly regarded corporate culture, Sanofi is recognized as one of the best pharmaceutical companies in the world and is pioneering the application of Artificial Intelligence (AI) with strong commitment to develop advanced data standards to increase reusability & interoperability and thus accelerate impact on global health. The R&D Data Office serves as a cornerstone to this effort. Our team is responsible for cross-R&D data strategy, governance, and management. We sit in partnership with Business and Digital, and drive data needs across priority and transformative initiatives across R&D. Team members serve as advisors, leaders, and educators to colleagues and data professionals across the R&D value chain. As an integral team member, you will be responsible for defining how R&D's structured, semi-structured and unstructured data will be stored, consumed, integrated / shared and reported by different end users such as scientists, clinicians, and more. You will also be pivotal in the development of sustainable mechanisms for ensuring data are FAIR (findable, accessible, interoperable, and reusable). Position Summary The R&D Business Capability manager associate serves as the interface between Business and Digital/Data on foundational data capabilities or needs across R&D. This role will be responsible for identification of key use cases across R&D, high level data solutioning (e.g., data strategy, governance/standards, management, infrastructure needs etc), and oversight of day-to-day operations for their specific data capability. Main Responsibilities Work in collaboration with R&D Data Office leadership, business, and R&D Digital subject matter experts: Partner with key stakeholders across R&D functions to identify data-related needs and initiatives (e.g., data catalog, master and reference data management, data products, etc.) and design innovative data solutions to support business priorities Partner with R&D Digital stakeholders to oversee data-related activities and verify data functionality from ingest through access Drive program management of initiatives and capabilities; ensure on-schedule/on-time delivery and proactive management of risks/issues Establish ways of working across all partner functions for specifically assigned capabilities/initiatives Examine multidimensional datasets and drive business processes updates to be performed and steer the respective change initiatives Oversee maintenance of documentation and act as an expert on data definitions, data flows, legacy data structures, access rights models, etc. for assigned domain Manage and maintain data modelling methodology already established within Data Governance team Educate and guide R&D teams on standards and information management principles, methodologies, best practices, etc. Participate in the evaluation of new technologies and innovation projects related to information management Manage and evolve current data integration standards policies and procedures, and data quality management services Manage maintenance of data lineage and support root cause analysis and impact assessment on data related topics Define and maintain KPIs on data governance products and services Deliverables Develops business case development, requirement identification, and use case development for business functions Implements business process definition, process performance, process execution, process management, and continuous improvement opportunities Drives a culture of operational excellence through a set of fundamental process management practices Collaborates with the Data Stewards to define the key master and reference data elements for business processes About You Experience in business data management, information architecture, technology or another related field Modelling experience with standard tools Basic programming skills Good knowledge of Pharma cross-industry data standards Familiarity with Pharma R&D processes and technology Ability to build business relationships and understand end-to-end data use and needs Diplomatic and stakeholder management skills across business, technology, and partners Demonstrated strong attention to detail, quality, time management and customer focus Excellent written and oral communications skills Strong networking, influencing and negotiating skills and superior problem-solving skills Demonstrated willingness to make decisions and to take responsibility for such Excellent interpersonal skills (team player) People management skills either in matrix or direct line function Education bachelor’s or master’s degree in Life Sciences disciplines (Biology, Chemistry, Bioinformatics, Cheminformatics, etc.) null Show more Show less

Job title: Data Project Manager Location: Hyderabad, India About The Job Sanofi is a global life sciences company committed to improving access to healthcare and supporting the people we serve throughout the continuum of care. From prevention to treatment, Sanofi transforms scientific innovation into healthcare solutions, in human vaccines, rare diseases, multiple sclerosis, oncology, immunology, infectious diseases, diabetes and cardiovascular solutions and consumer healthcare. More than 110,000 people in over 100 countries at Sanofi are dedicated to making a difference on patients’ daily life, wherever they live and enabling them to enjoy a healthier life. As a company with a global vision of drug development and a highly regarded corporate culture, Sanofi is recognized as one of the best pharmaceutical companies in the world and is pioneering the application of Artificial Intelligence (AI) with strong commitment to develop advanced data standards to increase reusability & interoperability and thus accelerate impact on global health. The R&D Data Office serves as a cornerstone to this effort. Our team is responsible for cross-R&D data strategy, governance, and management. We sit in partnership with Business and Digital, and drive data needs across priority and transformative initiatives across R&D. Team members serve as advisors, leaders, and educators to colleagues and data professionals across the R&D value chain. As an integral team member, you will be responsible for defining how R&D's structured, semi-structured and unstructured data will be stored, consumed, integrated / shared and reported by different end users such as scientists, clinicians, and more. You will also be pivotal in the development of sustainable mechanisms for ensuring data are FAIR (findable, accessible, interoperable, and reusable). Position Summary R&D Data Project manager plays a key execution and delivery role across multiple Sanofi R&D imperatives. This role must have a strong understanding of R&D business processes and have strong stakeholder management skills. This role must also be familiar with data practices, e.g., data strategy, data management, and data governance, and can communicate effectively to key stakeholders on behalf of the R&D Data Office. Main Responsibilities Oversee and coordinate timelines across R&D Data Office initiatives within the RDDO and with related/dependent initiatives across the enterprise Oversee maintenance of program plans, communications, templates, etc. Manage demand and provide advice on financial management for priority R&D Data Office initiatives, support integration with Finance, Procurement, and other corporate functions Monitor R&D Data Office initiative objectives, particularly as they develop R&D Data Office Capabilities (e.g., Data Governance, Data Management, etc.) and raise gaps in operating model (e.g., people, process, technology, etc.) Support coordination of preparatory work and briefing materials for key meetings Support and create strategic documents articulating the value of R&D Data Office activities Support and create training modules and communications to help with R&D data culture and literacy Support the R&D Data Office agenda in line with company strategic priorities through monitoring of progress and related KPIs and work with key stakeholders to support delivery Deliverables Communicate standards for data ownership and hold the data governance council(s) and data owners accountable at a functional level Formulate data governance operations plan (including data strategies, standards, definitions, rules, policies and processes), and procurement, ongoing operation, and maintenance of supporting technology Review and prioritize projects (initiatives) to manage asset inventory, ensure proposed solutions meet business needs, and monitor progress/outcomes Maintain detailed documentation of the change process, including milestones, challenges, and lessons learned About You Experience in Program/Project Management, Business Development, Communications, Change, Data/Tech or related field Experience with Agile Program Management processes Knowledge of drug discovery and development information and processes Change agent with combination of business, technology, and diplomatic skills Strong familiarity with data analytics, data capabilities, and cross-industry data standards Ability to plan and forecast across programs and initiatives Ability to navigate, escalate, and manage risks Demonstrated skillset in transformation / implementation of large-scale programs Understanding of back-end and front-end technologies and experience implementing highly functional solutions that can scale Must have played a role in ensuring organizational adoption of changes that needed significant influencing of business team. Should be adept at defining KPIs for leadership consumption of metrics measuring the adoption and sustainability of such changes Storyteller with the ability to translate complex technical jargon and concepts into something simple, accurate, and easy to understand Expert communication skills: experience with change management and training modules is a plus Excellent communication skills and familiarity with use of social media in enterprise Experience with change management and training modules Education: Bachelor’s or master’s degree in Life Sciences disciplines (Biology, Chemistry, Bioinformatics, Cheminformatics, etc.) null Show more Show less

Position Summary: We are seeking a highly motivated individual with expertise in computational chemistry to join our team as a Postdoctoral Fellow or Scientist, depending on experience level. The position will involve applying advanced computational methods to design, optimize, and analyze small molecules and their interactions with biological targets, contributing to drug discovery and disease modeling efforts. The successful candidate will have a PhD in computational chemistry, cheminformatics, physical chemistry, or a related field, with a deep understanding of molecular modeling, simulations, and structure-activity relationships. Fresh PhD graduates will be hired as Postdoctoral Fellows for a two-year term, while candidates with at least two years of postdoctoral fellowship or industry experience will be considered for a Scientist position. Key Responsibilities: Apply deep domain knowledge in computational chemistry to support drug discovery projects, including virtual screening, lead optimization, and ADME/Tox predictions. Utilize molecular modeling, molecular dynamics simulations, quantum mechanics, and docking techniques to understand ligand-protein interactions and predict binding affinities. Integrate chemical data with multi-omics data (genomics, transcriptomics, proteomics, and metabolomics) to identify novel therapeutic opportunities and understand disease mechanisms. Work with a team of computational biologists and software experts to develop and apply AI/ML approaches for chemical property prediction and drug design. Stay up to date with the latest advancements in computational chemistry, cheminformatics, and AI-driven drug discovery to incorporate cutting-edge research into project efforts. Collaboration & Project Management: Work closely with cross-functional teams, including medicinal chemists, biologists, computational scientists, and software engineers to enhance translational research efforts. Work with the Scientific Manager to help in project planning, execution, and reporting, ensuring alignment with research objectives. Communicate findings effectively through reports, presentations, and discussions with internal teams and external collaborators. Publish research findings in high-impact, peer-reviewed journals. Present work at scientific conferences, symposia, and internal research meetings. Contribute to grant applications and funding proposals where relevant. Qualifications & Experience: PhD in computational chemistry, cheminformatics, physical chemistry, or a closely related field. Strong expertise in molecular modeling, molecular dynamics simulations, quantum mechanics, and virtual screening techniques. Solid understanding of drug discovery principles, medicinal chemistry concepts, and structure-activity relationships. Proficiency with relevant computational chemistry software (e.g., Schrödinger, OpenEye, GROMACS, Amber) and programming languages (e.g., Python, R). Excellent verbal and written communication skills, with the ability to convey complex chemical and computational concepts clearly. Preferred: Experience with large-scale chemical data analysis and cheminformatics tools. Experience applying machine learning or artificial intelligence to chemical problems. Previous experience working in a multidisciplinary research environment, especially in a biopharmaceutical setting. Other Considerations: Fresh PhD graduates will be hired as Postdoctoral Fellows for a two-year term with an opportunity for promotion to Scientist based on performance. Candidates with at least two years of postdoctoral experience in computational chemistry in either academia or industry will be hired as Scientists with opportunities for career advancement. Why Join Us? Work at the cutting edge of computational chemistry and AI-driven drug discovery. Contribute to groundbreaking disease modeling and omics integration efforts. Collaborate with leading experts in multiple disease domains. Competitive salary, benefits, and career development opportunities. Graduation

Job Title: Director- Data, Analytics & AI, Cheminformatics GCL- F Introduction to role AstraZeneca has invested heavily in our Augmented Drug Design-Make-Test and Analyse platforms as we seek to deliver better, differentiated candidate drugs into trials faster, for greater patient benefit. We have made great strides in creating an ecosystem enabling operational and experimental data capture, and in developing AI/ML analytics, AI, and ML services for both traditional small molecules and complex modalities that will pave the way for this transformation. The next stage of this journey involves building a unified scientific data and AI platform with state-of-the-art algorithms and technology that will enable our scientists to design new and safer drugs faster. We are looking for a Lead Cheminformatics Engineer who can excel in both cheminformatics and software development to join our team to help build and modernize our integrated software platform supporting key drug discovery science. In Early Science, we have highly skilled scientists generating ideas and performing experiments supporting complex drug discovery projects. Our environment is driven by scientific and technical innovation with a high degree of diversity in workflows, data, vendor solutions, and in-house builds. Working alongside Computational and Medicinal Chemists, Software and Data Engineers, Architects, and Analysts, you will lead in designing and implementing scientific solutions end-to-end. You will use your scientific knowledge and technical acuity to troubleshoot and provide innovative solutions to ensure smooth experiences for our scientists as well as for the software development team. Your work will have a direct impact on the science we do, and you have an opportunity to enable our scientists to undertake science that is not possible today. Accountabilities You will join a global team of cheminformaticians, scientific software engineers, and devops engineers in our Augmented-DMTA platform and perform the following: Be one of the subject matter experts for the team with knowledge of cheminformatics and computational chemistry tools used in drug discovery Work with cutting edge technology stack in a cloud environment solving scientific challenges for drug discovery Be responsible for designing and implementing scientific software and data solutions to make our science easier to do, easier to learn from, and offer faster delivery and higher quality across all therapeutic areas Design and build novel products and features to address long-standing problems in drug discovery with a focus on producing amazing user experiences that are more than the sum of their parts Collaborate with product, design, data science, software engineering, and scientists to build cutting-edge experiences and services Propose and implement changes to our drug discovery data models, core architecture, and codebase Develop all levels of the technical stack even if you’re more experienced in some layers with a strong focus on scalable backend services Support less experienced software engineers by knowledge sharing, mentoring, and feedback Proactively review and improve the scalability, reliability, performance, and availability of drug discovery services Advocate for rigorous engineering practices and discipline: code reviews, automated testing, logging, monitoring, alerting, etc. Be passionate for staying on top of tech trends, experiment with and learn new technologies, participate in internal & external technology communities, and mentor other members of the engineering community Propose solutions for engineering problems deploying critical thinking and analysis skills Essential Skills/Experience Expertise in Cheminformatics, ML, or a related field and experience working with one of the cheminformatics toolkits Expertise in one or more languages like Python, Java, Node.js with the willingness and ability to quickly adapt to a new language Some experience with end-to-end web development with at least one of the web frameworks, FastAPI, Flask, Spring, Django, etc. Experience working with relational and/or NoSQL databases and knowledge of query optimization techniques Proficiency in Linux environments Demonstrable abilities with the coding best practices including testing, code review, and version control Excellent teamworking, verbal, and written communication skills Desirable Skills/Experience CI/CD experience with some automation tooling like Jenkins, TravisCI, Github actions, etc. Demonstrable high proficiency in data structures and design patterns Experience in chemistry data standardization, transformation and harmonization combining multiple data sources Experience in cloud services and tools Experience data and/or compute pipelining tools either generic or cheminformatics-specific ones Basic understanding of Machine Learning concepts and MLOps Experience with Docker and Kubernetes Experience with GitOps When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. At AstraZeneca, our work has a direct impact on patients by transforming our ability to develop life-changing medicines. We empower the business to perform at its peak by combining cutting-edge science with leading digital technology platforms and data. Join us at a crucial stage of our journey in becoming a digital and data-led enterprise. Here you can innovate, take ownership, explore new solutions with leading-edge technology, and tackle challenges that might never have been addressed before. Our dynamic environment offers countless opportunities to learn and grow while making meaningful contributions. Ready to make an impact? 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Working at Freudenberg: "We will wow your world!" This is our promise. As a global technology group, we not only make the world cleaner, healthier and more comfortable, but also offer our 52,000 employees a networked and diverse environment where everyone can thrive individually. Be surprised and experience your own wow moments. Klüber Lubrication, a company of the Freudenberg Group, is the global leader in speciality lubrication with manufacturing operations in North and South America, Europe and Asia, subsidiaries in more than 30 different countries and distribution partners in all regions of the world, supported by our HQs in Germany. We are passionate about innovative tribological solutions that help our customers to be successful. We supply products and services, many of them customized, in almost all industries from automotive to the wind energy markets. Some of your Benefits Diversity & Inclusion Health Insurance Personal Development Safe Environment Sustainability & Social Commitment Bangalore On-Site Klüber Lubrication India Pvt. Ltd. You support our team as STATISTICAL ANALYTICS ENGINEER (F/M/D) Responsibilities Performs projects in statistics, data science and artificial intelligence in the technical field of KL under the guidance of experts, evaluates and comments on results Implements data processes and data products into operations and works on their operation and optimization Coordinates regularly with experts in statistics, data science and artificial intelligence at KL Maintains a balance between effort (time, cost) and expected benefit of incoming requests Contributes ideas for KL-relevant developments and methods, especially in the field of data analysis and artificial intelligence, and implements them as needed Supports the improvement and automation of processes/workflows in own & adjacent work areas through statistical methods and evaluations Works on cross-functional project teams and projects with external partners Keeps own expertise up to date (self-study, external training, meetings, specialist groups) Supports technical colleagues in the introduction, use and quality assurance of data analysis tools Presents contributions to statistics and data science in the context of Klüber internal and customer training Qualifications Engineering Graduate /Masters in Chemistry, Physics or equivalent degree Overall 7 -10 years of experience in data modelling, analysis and visualization in manufacturing or industrial environment. Completed higher education in science, focus on chemistry, physics, mathematics or related discipline Strong experience in methods for processing, evaluating and modeling data In depth programming knowledge with a focus on data science and data engineering, preferably in Python Experience using cheminformatics, materials informatics, generative AI and machine learning Experience in developing interactive data applications with frameworks like Shiny, Dash or streamlit good knowledge of relational data (SQL), experience in tools like JupyterLab, Gitlab, Airflow, MLFlow, knowledge of chemical analysis and organic chemistry The Freudenberg Group is an equal opportunity employer that is committed to diversity and inclusion. Employment opportunities are available to all applicants and associates without regard to race, color, religion, creed, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity or expression, national origin, ancestry, age, mental or physical disability, genetic information, marital status, familial status, sexual orientation, protected military or veteran status, or any other characteristic protected by applicable law. Additional Information Kausik Bose kausik.bose@klueber.com

A Day in Your Life at MKS: As an Application Developer, Data Analytics at MKS MSD, you will collaborate closely with the Data Analytics team to support ELN, Spotfire, and related initiatives. Reporting to the Data Analytics Team Manager, you will apply various methods and strategies to assist multiple departments across the organization. This role involves working alongside your immediate team, the team manager, R&D manager, and other cross-functional groups. Open, clear communication with both the team and R&D managers is essential. You’ll be encouraged to take initiative, propose your own ideas, and develop effective approaches to successfully carry out your responsibilities. You Will Make an Impact By: Leading the development and implementation of advanced data analytics techniques, with a strong emphasis on Cheminformatics applications. Acting as the super administrator for Electronic Laboratory Notebooks (ELNs) and data visualization platforms, ensuring their effective configuration, maintenance, and optimization. Collaborating with stakeholders to gather business requirements and translating them into impactful data analytics solutions. Partnering with cross-functional teams to seamlessly integrate data analytics capabilities into existing systems and workflows. Staying current with emerging trends and innovations in Cheminformatics, Data Science, and related fields, and advising on their strategic application within the organization. Promoting a culture of continuous improvement and innovation by encouraging the adoption of new tools and methodologies to advance analytics performance. Ensuring all data analytics initiatives adhere to data privacy and security standards Contributing original ideas and strategic approaches to enhance project outcomes. Maintaining clear, consistent communication with stakeholders regarding task progress and deliverables. Demonstrating initiative and self-motivation in upholding work culture and achieving goals. Engaging actively in team-building efforts to support a collaborative and positive work environment. Respecting and protecting the confidentiality of all departmental and project-related information. Skills You Bring: B.E/B.Tech/M.Sc in Computer Science, Data Science, Statistics, Chemical Sciences, or a closely related discipline. At least 3 years of relevant professional experience in data analytics or a related technical field. Hands-on experience with Revvity Signals ELN and TIBCO Spotfire , including administration and customization will be an advantage. Expertise in customizing ELN templates, scripts, and workflows to align with both research and regulatory requirements. Proficiency in diagnosing and resolving ELN-related technical issues, providing timely support and troubleshooting. Experience collaborating with scientists, research teams, and IT departments to gather and translate technical and functional requirements. Ability to deliver user training and ongoing support for research and laboratory staff. Advanced knowledge of Cheminformatics and Data Science techniques, tools, and best practices. Proven leadership skills and the ability to foster strong, collaborative teams. Strong stakeholder management capabilities with the ability to clearly communicate complex technical ideas to non-technical audiences. Competence in task prioritization, project planning, and defining clear next steps. Excellent communication, interpersonal, and teamwork skills. A self-starter mindset with creative problem-solving abilities, a strong sense of ownership, and a drive for continuous improvement. Preferred Skills: (Optional) Familiarity with data visualization tools such as Power BI or Tableau. Hands-on experience with at least one programming language, preferably C++ or Python. Basic understanding of system architectures and data flow diagrams. Exposure to automation control systems and robotics applications. Knowledge of digital transformation concepts and their implementation in research or technical environments. #LI-AM2 Globally, our policy is to recruit individuals from wide and diverse backgrounds. However, certain positions require access to controlled goods and technologies subject to the International Traffic in Arms Regulations (ITAR) or Export Administration Regulations (EAR). Applicants for these positions may need to be “U.S. persons.” “U.S. persons” are generally defined as U.S. citizens, noncitizen nationals, lawful permanent residents (or, green card holders), individuals granted asylum, and individuals admitted as refugees. MKS Instruments, Inc. and its affiliates and subsidiaries (“MKS”) is an affirmative action and equal opportunity employer: diverse candidates are encouraged to apply. We win as a team and are committed to recruiting and hiring qualified applicants regardless of race, color, national origin, sex (including pregnancy and pregnancy-related conditions), religion, age, ancestry, physical or mental disability or handicap, marital status, membership in the uniformed services, veteran status, sexual orientation, gender identity or expression, genetic information, or any other category protected by applicable law. Hiring decisions are based on merit, qualifications and business needs. We conduct background checks and drug screens, in accordance with applicable law and company policies. MKS is generally only hiring candidates who reside in states where we are registered to do business. MKS is committed to working with and providing reasonable accommodations to qualified individuals with disabilities. If you need a reasonable accommodation during the application or interview process due to a disability, please contact us at: accommodationsatMKS@mksinst.com . If applying for a specific job, please include the requisition number (ex: RXXXX), the title and location of the role

We’re seeking a Technical Writer to join us in our mission to improve human health and quality of life through the development, distribution, and application of advanced computational methods. Schrödinger is on the cutting edge of computer-aided drug discovery and materials science. We set the record for the largest and fastest cloud-computing run, and our software suites continue to revolutionize the design of therapeutics and materials. Maestro, FEP+, WaterMap, Glide, and LiveDesign are just a few examples of the programs we’ve created. As a member of our Documentation team in the Education department, you’ll have the opportunity to reach scientists across the globe and help integrate the exciting potential of computational drug discovery into an array of research areas. You will also have the chance to apply design thinking to improve how scientists access information and answer their own questions regarding the use of Schrödinger software. This role will collaborate with several other teams to make high-quality, user-friendly documentation easily accessible with a goal of enabling researchers to find the answer they need. Who Will Love This Job An experienced technical writer with a background in science or a computational chemist with exceptional communication, writing, and editing skills A well-organized and detail-oriented professional who is able to meet regular deadlines A creative thinker who enjoys working collaboratively and across many teams What You’ll Do Collaborate with education, product development, application science, and support teams to develop documentation in computational chemistry Write, edit, and design documentation targeted towards varied audiences Manage complex, multi-step documentation projects in coordination with multiple stakeholders Work with the education team to advance educational content in a team-oriented environment Develop in-depth familiarity with our entire suite of small-molecule, biologics, and materials science software, including packages for docking, molecular simulations, homology modeling, pharmacophore modeling, cheminformatics, and quantum mechanics What You Should Have Bachelor’s degree or higher in a relevant scientific discipline or equivalent industry experience A scientific background with experience in technical and/or professional writing, or a technical writing background with experience in chemistry, biochemistry, biophysics, physics, or a related field Interest in small-molecule drug discovery Understanding of molecular modeling software tools Demonstrated history of strong writing skills (applicants will be asked to submit writing samples relevant to the position) We’d Prefer To Hire Someone Who Has An MS in Technical writing or an MS or PhD in a relevant scientific discipline Experience with Schrödinger applications or other molecular modeling software Proficiency with tools like Flare (or other technical documentation software), Confluence, and/or Jira Experience in Python, HTML, and/or CSS As an equal opportunity employer, Schrödinger hires outstanding individuals into every position in the company. People who work with us have a high degree of engagement, a commitment to working effectively in teams, and a passion for the company's mission. We place the highest value on creating a safe environment where our employees can grow and contribute, and refuse to discriminate on the basis of race, color, religious belief, sex, age, disability, national origin, alienage or citizenship status, marital status, partnership status, caregiver status, sexual and reproductive health decisions, gender identity or expression, or sexual orientation. To us, "diversity" isn't just a buzzword, but an important element of our core principles and key business practices. We believe that diverse companies innovate better and think more creatively than homogenous ones because they take into account a wide range of viewpoints. For us, greater diversity doesn't mean better headlines or public images - it means increased adaptability and profitability. Show more Show less

Job Summary We are seeking a highly skilled Technical Lead with 5 to 8 years of experience in Salesforce Advance Salesforce Apex and LS Salesforce. The ideal candidate will have a strong background in cheminformatics R&D preclinical and clinical domains. This role involves leading technical projects ensuring high-quality deliverables and collaborating with cross-functional teams to drive innovation and efficiency. Responsibilities Lead the design and development of Salesforce solutions to meet business requirements. Oversee the implementation of Salesforce Apex and LS Salesforce to ensure optimal performance. Provide technical guidance and mentorship to junior developers and team members. Collaborate with cross-functional teams to gather requirements and translate them into technical specifications. Ensure the quality and integrity of Salesforce solutions through rigorous testing and validation. Drive continuous improvement initiatives to enhance the efficiency and effectiveness of Salesforce implementations. Manage project timelines deliverables and resources to ensure successful project completion. Troubleshoot and resolve technical issues related to Salesforce applications. Develop and maintain technical documentation for Salesforce solutions. Stay updated with the latest Salesforce advancements and industry trends to incorporate best practices. Facilitate knowledge sharing and training sessions for team members and stakeholders. Contribute to the strategic planning and roadmap development for Salesforce initiatives. Ensure compliance with regulatory and security standards in all Salesforce implementations. Qualifications Possess a minimum of 5 years of experience in Salesforce Advance Salesforce Apex and LS Salesforce. Demonstrate strong expertise in cheminformatics R&D preclinical and clinical domains. Exhibit excellent problem-solving skills and the ability to troubleshoot complex technical issues. Show proficiency in project management and the ability to manage multiple tasks simultaneously. Have strong communication skills to effectively collaborate with cross-functional teams and stakeholders. Display a proactive approach to learning and staying updated with industry trends and advancements. Possess a bachelors degree in computer science information technology or a related field. Certifications Required Salesforce Certified Advanced Administrator Salesforce Certified Platform Developer I Show more Show less