49 Cheminformatics Jobs

Role Overview: We are seeking a highly motivated Data Scientist to support advanced analytics initiatives across the organization. Key Responsibilities: Manage end-to-end analytics projects including data wrangling, model development, validation, and deployment. Collaborate with scientific and operational teams to identify opportunities for data science applications in drug discovery, development, and manufacturing. Interact with domain experts and clients to understand data, business challenges and implement robust, scalable solutions. Design and implement machine learning models, statistical analyses, and data visualizations to solve real-world problems. Develop predictive models for reaction outcomes, process optimization, and quality control. Work with structured and unstructured data from lab equipment's, sensors, and other scientific instruments. And also, from enterprise applications (CRM, ERP, etc.) Build and maintain data pipelines and dashboards for real-time monitoring and reporting. Implement AI workflows for enhancing decision-making processes Qualifications: Education: MS/MTech in Mathematics, Statistics, Computer Science. Experience: 3+ years in data science or advanced analytics. Proficiency in Python, R, SQL, and data visualization tools (e.g., Power BI, Tableau). Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Familiarity with cheminformatics or bioinformatics tools (e.g., RDKit, KNIME) is a plus. Strong problem-solving skills and ability to work in a fast-paced, collaborative environment. Preferred Skills & Expertise: Sound knowledge of statistical, machine learning algorithms and applications. Expertise in the use of Python for machine learning and complex data analysis Experience with cloud platforms (AWS, Azure, GCP). Knowledge of FAIR data principles and data governance in scientific environments. Exposure to digital lab tools like ELN, LIMS, or CDS. Understanding of regulatory requirements in pharma (e.g., GxP, 21 CFR Part 11). Knowledge of Computer Vision and Gen AI approaches. Excellent storytelling and presentation skills. Ability to work in a dynamic multidisciplinary environment Why Join Us? Be part of a growing digital transformation journey in a science-driven organization. Work on impactful projects across accelerate drug discovery and development. Work on projects on support functions like Finance, Supply chain, HR, etc. Collaborate with world-class scientists and technologists. Enjoy a culture of innovation, learning, and continuous improvement.

We are hiring - Data Scientist! About Client: We are an innovative, stealth-mode startup at the forefront of applying next-generation AI to chemistry and scientific reasoning. As a sister concern of Laxai Life Sciences and working closely with our clients, we are uniquely positioned to revolutionize how groundbreaking molecules are discovered and developed, initially focusing on the pharmaceutical industry with broader ambitions in the materials space. The company is US-incorporated, with a significant part of the team in India. Our team comprises seasoned experts from both the pharmaceutical and technology sectors, tackling significant technical challenges with the potential for substantial real-world impact. Our founders are Vamsi Maddipatla and Nivedita Ratakonda, both serial entrepreneurs. Vamsi is the founder of Laxai Life Sciences and group companies and has 20+ years of experience in the technology and biopharma industries. Nivedita is a tech entrepreneur and Stanford graduate, a repeat founder with 20+ years of experience. Our advisors are seasoned experts in the pharmaceutical space: Dr. Abigaile Doyle of UCLA and Dr. John Dillon. The founders and advisors are all based in the US. We are developing the cutting edge of applied AI and scientific automation and are in an exciting phase of growth. We are looking for talented individuals to join us who can thrive in a fast-paced, agile startup environment, working towards a bold vision of a moonshot. Role Summary: As a Data Scientist, you will be an instrumental part in building client's AI product. The role is pivotal in driving innovation, integrating AI/ML methodologies, and fostering collaboration across interdisciplinary teams to achieve organizational goals in pharmaceutical development. Key Responsibilities: ● Platform Development - Develop and enhance AI-powered prediction models to predict and optimize chemical formulations. - Collaborate with software engineers to integrate advanced computational models into the AI platform. ● Data Analytics and Modeling - Analyze large datasets from chemistry data and R&D experiments to uncover patterns, trends, and optimization opportunities. - Develop and validate statistical and machine learning models to improve prediction accuracy and reliability. ● Optimization and Scalability - Improve the computational efficiency and scalability of existing models to handle diverse customer needs. - Drive efficient use of computational and cloud resources, minimizing redundancy and controlling operational expenses. - Ensure all computational tools and methodologies comply with industry standards and best practices. ● Cross-Functional Collaboration - Work closely with domain experts, software engineers, and project managers to ensure seamless integration of scientific methods into practical applications. - Communicate findings and recommendations effectively to technical and non-technical stakeholders. ● Customer Engagement: - Collaborate with customers to understand their R&D challenges and aid in tailoring the platform to address specific use cases. - Deliver insights and solutions based on predicted outputs, ensuring alignment with customer sustainability and performance goals. Qualifications: ● Education: - Bachelor’s or Master's in Computer Science| Data Science or Cheminformatics or Computational Chemistry - Course Certificates in Data Science ● Experience: - 6+ years of total experience, 3+ relevant drug discovery experience with demonstrated impactful contributions to small-molecule programs. - 4+ years of experience in data modeling, computational analysis, or similar roles, preferably in manufacturing, R&D, or chemical industries. - Proficiency in statistical and machine learning techniques. - Background or project work in materials physics/chemistry or a related field is an added advantage, not mandatory ● Technical Skills: - Mandatory: Programming experience in Python (preferred), R, or similar languages. - Mandatory: Hands-on experience with AI/ML tools like TensorFlow, PyTorch, or sci-kit-learn. - Mandatory: Expertise in cheminformatics data analysis and large-scale data handling. - Desired: Familiarity with cloud platforms (AWS, Azure, or GCP) for large-scale computations. - Experience with databases (SQL/NoSQL) and data visualization tools. ● Soft Skills: - Strong problem-solving and critical-thinking abilities. - Excellent communication skills to convey complex ideas to varied audiences. - Team player with a collaborative mindset. - Efficient and flexible disposition, able to rapidly learn new fields and use data science and machine learning to improve decision-making and workflows Interested candidates can apply by sharing their resume at techcareers@invokhr.com or apply via LinkedIn job post.

Job Description: We are looking for an experienced Data Science Specialist with a strong background in Cheminformatics and hands-on experience in designing and developing AI models. The ideal candidate will have a solid understanding of data science principles and domain-specific knowledge in cheminformatics , particularly in CADD and AIDD Responsibilities: - Design and develop AI models with a strong understanding of non-functional requirements. - Implement robust and scalable AI solutions in the following areas: Model Development: Develop and fine-tune generative AI models for various applications, ensuring efficiency and high-quality outputs. Data Processing: Design and manage data pipelines for training and deploying AI models, including data collection, cleaning, and preprocessing. Algorithm Optimization: Analyze and optimize AI algorithms for performance, including tasks like hyperparameter tuning, model compression, and implementing advanced optimization techniques. Prompt Engineering: Design and optimize prompts for generative AI models to improve performance and output quality, experimenting with different prompt structures and techniques. Security Measures: Implement security measures to protect sensitive data and AI models, including data encryption, access control, and ensuring compliance with data privacy regulations.  - CADD and AI-driven Drug Discovery: Utilize CADD techniques such as molecular docking, virtual screening, and quantitative structure-activity relationship (QSAR) modelling. Apply AI-driven approaches for target identification, hit identification, ADMET prediction, lead optimization, and drug repositioning Maintain and improve existing AI models and pipelines. Collaborate with cross-functional teams to define, design, and deploy new AI features using Azure DevOps for CI/CD pipeline. Write unit tests and use debugging tools to ensure the robustness and reliability of AI models. Work on bug fixing and improving AI model performance. Qualifications: - 5-7 years of experience in data science and AI, with a minimum of 5 end-to-end AI projects delivered. - Hands-on experience with data science tools like Jupyter, Spyder, Visual Studio Code, and PyCharm. - Experience with Generative AI models and techniques such as GANs, VAEs, and transformers. - Experience with relational databases like Microsoft SQL Server and NoSQL databases. - Experience with version control tools like Git. - Strong problem-solving skills, algorithmic skills, and data structures. - Experience in Agile methodologies using Azure DevOps is a plus. - Proficiency in CADD techniques and AI-driven discovery methods

Date: 30 Aug 2025 Location: Bangalore, KA, IN, 560099 Custom Field 1: Discovery Services Job Description Designation: Computational Chemist (Senior Research Associate) (Level 9) Job Location: Bangalore Department: Computational & Data Sciences About Syngene Incorporated in 1993, Syngene International Ltd. is an innovation-focused global discovery, development, and manufacturing organization providing integrated scientific services to the pharmaceutical, biotechnology, nutrition, animal health, consumer goods, and specialty chemical industries worldwide. Syngene’s clientele includes world leaders such as Bristol-Myers Squibb, Baxter, Amgen, GSK, Merck KGaA, and Herbalife. Its innovative culture is driven by the passion of its 4240-strong team of scientists who work with clients from around the world to solve their scientific problems, improve R&D productivity, speed up time to market, and lower the cost of innovation. Job Purpose To support drug discovery and material science projects by applying computational modeling, cheminformatics, QSAR/QSPR modeling, and data science techniques. Key Responsibilities Support the design and optimization of small and large molecules using various structure & ligand-based approaches. Implement QSAR/QSPR modeling techniques to predict molecular properties and enhance compound selection. Apply cheminformatics approaches to analyze and interpret chemical and biological data. Utilize data science techniques, including machine learning, to derive insights from computational chemistry datasets. Prepare and submit reports in the relevant format and contribute to design sessions within the team. Provide support to the computational tool/workflow development. Educational Qualification Master’s degree in Computational Chemistry, Organic Chemistry, Pharmacy, Biotechnology, Life Sciences, or a related field with experience in computational techniques for drug discovery. Technical/Functional Skills Strong understanding of computational techniques relevant to drug discovery and material science. Experience with modeling tools such as Schrodinger (Maestro, Bioluminate, Materials Science), MOE, ICM, Cresset, KNIME, and Pipeline Pilot. Expertise in QSAR/QSPR modeling, cheminformatics, and data science approaches in drug discovery. Proficiency in molecular dynamics simulations, quantum chemistry, shape and electrostatic comparison, homology modeling, docking, and pharmacophore modeling. Familiarity with high-performance computing environments, Linux-based clusters, and GPU systems. Knowledge of Python programming is an advantage. Experience 1-2 years of experience in drug discovery, medicinal chemistry, or computational modeling. Interest in acquiring knowledge and applying innovative techniques to advance medicinal chemistry and material science projects. Behavioural Skills Ability to work in a multidisciplinary team with excellent interpersonal skills. Strong analytical and problem-solving skills with a proactive approach to challenges. Effective communication and presentation skills to convey complex scientific information clearly. Ability to adapt to dynamic project requirements and work independently or collaboratively. Equal Opportunity Employer Syngene is committed to providing equal employment opportunities (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by applicable legislation or local law. Additionally, Syngene will provide reasonable accommodations for qualified individuals with disabilities.

Desired Profile : B.E. / B.Tech. (Data Science, AI - ML or Computer Science) with 2 - 3 years experience Roles and responsibilities : Supporting in-house Cheminformatics and Bioinformatics teams in automating molecular modelling workflows, chemical and biological data management processes, as well as developing NLP - assisted user-friendly applications for end users Proven expertise in building machine learning models and intuitive data analysis platforms using knowledge graphs, neural networks or deep learning techniques. Skilled in working with locally deployable GPTs, generative AI approaches and big data analytics. Proficient in UNIX operating systems and programming languages such as Python, R, SQL or Java Some experience in developing drug discovery - related applications, along with some understanding of the fundamentals of pre-clinical discovery processes, will be advantageous.

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 Full-Time

Pattern is developing a cutting-edge AI drug discovery engine that combines AlphaFold/OpenFold structural predictions, generative molecular design, and reinforcement learning agents to navigate the ~10^60 possibilities in small-molecule chemical space. We are seeking a Deep Learning Lead to architect, train, and deploy machine learning models for protein–ligand structure prediction, de novo molecular generation, and multi-objective optimization. You will partner closely with our Ligand Design & Pose Prediction Lead to integrate chemical and biological expertise into the model pipeline, ensuring our AI agents produce compounds that are potent, novel, and biologically relevant. Key Responsibilities Design and implement deep learning architectures for: Pocket-conditioned molecular generation (e.g., Pocket2Mol, SE(3)-equivariant GNNs, 3D diffusion models). Protein–ligand pose prediction (DiffDock, EquiBind, custom SE(3)-transformers). Multi-objective reinforcement learning for compound optimization (potency, ADMET, novelty). Fine-tune AlphaFold/OpenFold and related structure models for project-specific targets. Integrate multi-modal biological context (from the Agentix Knowledge Graph) into generative and scoring models. Develop and maintain scoring functions for binding affinity, selectivity, ADMET, and synthetic accessibility. Implement uncertainty estimation and active learning loops to prioritize compound synthesis/testing. Collaborate with the Ligand Design Lead to: Translate medicinal chemistry insights into model constraints. Incorporate wet-lab feedback into model retraining. Co-develop workflows for real-time human–AI co-design. Maintain MLOps pipelines for dataset versioning, model deployment, and experiment tracking. Qualifications Required PhD or MSc in Computer Science, Machine Learning, Computational Chemistry, Bioinformatics, or related discipline. 2+ years of hands-on experience in deep learning model development, ideally in a scientific or molecular domain. Strong expertise in generative modeling (transformers, diffusion models, graph neural networks). Experience with 3D geometric deep learning for molecular structures (SE(3)-equivariant architectures). Proficiency in reinforcement learning (policy gradients, model-based RL, quality-diversity search). Strong programming skills in Python with frameworks like PyTorch or TensorFlow. Experience in handling molecular datasets (PDB, ChEMBL, binding affinity data). Preferred Prior work on protein structure prediction, ligand docking, or molecular property prediction. Familiarity with cheminformatics toolkits (RDKit, Open Babel). Experience in integrating wet-lab assay data into active learning loops. MLOps experience (Docker, CI/CD for ML, MLflow, DVC). Why Join Us? You’ll help define the AI engine at the heart of Pattern’s platform, working with cutting-edge molecular AI tools and direct structural chemistry input from our Ligand Design Lead. Your models will power a proprietary agentic search system designed to explore the chemical universe faster and smarter than competitors.

This position is no longer available. University: Hamad Bin Khalifa University Country: Qatar Deadline: Not specified Fields: Computer Science, Bioinformatics, Computational Biology, Biomedical Science, Chemistry Postdoctoral Fellowship in Artificial Intelligence for Biomedical Sciences The College of Health & Life Sciences at Hamad Bin Khalifa University invites applications for a postdoctoral position in the field of artificial intelligence applied to biomedical sciences. This opportunity is funded by a QRDI grant and is supervised by Dr. Mohammad Farhan. The position is available immediately and aims to advance research at the intersection of AI and biomedical science. Key responsibilities include contributing to research projects in the following areas: – Small molecule drug discovery: Development of machine learning models for hit identification and lead optimization – QSAR modeling: Advanced quantitative structure-activity relationship prediction – Molecular dynamics: AI-enhanced simulation analysis and property prediction – Data analysis: Locomotor pattern recognition in behaving fruit flies and development of novel AI models for healthcare data analysis – Time series analysis: Advanced modeling of temporal biomedical data – Manuscript preparation and scientific writing Requirements – PhD in Computer Science, Bioinformatics, Computational Biology, or Biomedical Science – Strong background in machine learning, including deep learning, generative models, or time series analysis – Proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn – Experience with high-performance computing environments Preferred Qualifications – Background in computational chemistry, cheminformatics, or molecular modeling – Experience with behavioral data analysis or neuroscience applications – Familiarity with molecular dynamics simulation tools – Knowledge of drug discovery principles and QSAR methodologies – Strong collaborative skills and effective communication Also See USA – PhD and Postdoc Positions in Control & Optimization at University of Tulsa Fully Funded Postdoctoral and PhD Positions in Marine Microbial Ecology, Viruses,… Europe – Postdoc in Mechanical Properties of Cemented Carbides at University of Luxembourg USA – Postdoctoral Research in Water Resources at University of Florida Postdoctoral Research Fellow in Molecular Simulation of Lipid Nanoparticles at RMIT Application Instructions Interested candidates should submit the following materials: – CV highlighting relevant experience – Brief cover letter outlining research interests – Contact information for 2–3 references Please send applications via email to: mohammadfarhan@hbku.edu.qa Subject line: “Postdoc Application – AI Biomedical Sciences” This position was advertised on LinkedIn by Professor Farhan. Get the latest openings in your field and preferred country—straight to your email inbox. Sign up now for 14 days free: https://phdfinder.com/position-alert-service/ We’re an independent team helping students find opportunities. Found this opportunity helpful? Support us with a coffee!

Job title: R&D Business Capability Manager Associate Location: Hyderabad 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 May directly or in-directly lead junior data roles (e.g., data modelers, data stewards, etc.) across end-to-end data activities (ingest through access) 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.) Languages: English null Pursue Progress . Discover Extraordinary . Join Sanofi and step into a new era of science - where your growth can be just as transformative as the work we do. We invest in you to reach further, think faster, and do what’s never-been-done-before. You’ll help push boundaries, challenge convention, and build smarter solutions that reach the communities we serve. Ready to chase the miracles of science and improve people’s lives? Let’s Pursue Progress and Discover Extraordinary – together. At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status or other characteristics protected by law.

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.