40 Cheminformatics Jobs - Page 2

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

Summary As a Data Science expert, you will join our Modeling & Simulation Data Science team in the Translational Medicine Unit and help us to unleash the power of data science for drug discovery. You will bring your curious, innovative, and collaborative mindset to effectively harness the absorption, distribution, metabolism, excretion (ADME) and pharmacokinetics (PK) / pharmacodynamics (PD) data generated within our department and master the use of our in-house applications and state-of-the-art machine learning (ML) methods and statistical techniques to accelerate drug design. Our group is growing, and we hope you will join our dynamic, enthusiastic and forward-thinking team! About The Role Key responsibilities Your Responsibilities Will Include, But Are Not Limited To Act as the M&S Data Science representative on drug discovery and lead optimization programs by collaboratively contributing to project team discussions, using dry- and wet-lab data to provide scientific and strategic input to guide decisions such as compound progression and in vivo study prioritization Master and advocate the use of in silico models and in-house tools, applications and data to accelerate and streamline decision making Apply data mining to understand relationships between structure and molecular properties for programs involving small molecules, peptides, RNAs Identify opportunities to create custom, project- or modality-specific in silico models and data strategy, and contribute to their development and implementation Proactively seek opportunities to increase the impact and awareness of M&S Data Science through clear and concise communications with internal and external audiences or various expertise Monitor and stay up to date on developments within the field of AI/ML applied to ADME and PK/PD, and data science methods applied to drug discovery Role Requirements Essential requirements: Advanced degree in life sciences with multidisciplinary background (cheminformatics, bioinformatics, biomedical engineering, AI/ML in drug discovery or life sciences, data science, computational biology, computational chemistry or related field) PhD with 2+ years or MSc with 6+ years of relevant work experience with deep knowledge on drug discovery and development processes Experience in the application of (reproducible) data science methods, tools and practices to drug discovery Strong understanding of statistics, machine learning and deep learning Demonstrated knowledge of data visualization and exploratory analysis Solid skills in programming languages, i.e. Python and R, including software development practices such as version control, testing, documentation, etc. Knowledge of machine learning/deep learning libraries such as scikit-learn, keras or pytorch Excellent communication skills and ability to translate analytical concepts for diverse audience and stakeholders (English is our primary language) Desirable Expertise with discovery-stage PK modeling for small molecule compounds (e.g., relating ADME properties to in vivo PK; scaling of preclinical PK to human) is a plus Experience with generative algorithms and explainable AI Languages English. Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards Show more Show less

JOB TITLE: Research Executive JOB FUNCTION: Science & Technology REPORTS TO: Sr. Research Scientist SCOPE: Beauty and Wellbeing WORK LOCATION: Unilever R&D Bangalore About Unilever With 3.4 billion people in over 190 countries using our products every day, Unilever is a business that makes a real impact on the world. Work on brands that are loved and improve the lives of our consumers and the communities around us. We are driven by our purpose: to make sustainable living commonplace, and it is our belief that doing business the right way drives superior performance. At the heart of what we do is our people – we believe that when our people work with purpose, we will create a better business and a better world. At Unilever, your career will be a unique journey, grounded in our inclusive, collaborative, and flexible working environment. We don’t believe in the ‘one size fits all’ approach and instead we will equip you with the tools you need to shape your own future. BUSINESS CONTEXT AND MAIN PURPOSE OF THE JOB Beauty and Wellbeing (BW) is focused on Unmissable Brand Superiority and Making Market with Multi-Year Innovation Platforms and Excellence with Incremental turnover. Science & Technology (S&T) team is focused on big bets platforms such as MultiOmics, Biotechnology, Advanced Materials, using Digital to excel with savings and growth. The role of the Science and Technology (S&T-Physical and Chemical Science-PCS) is to deliver breakthrough “Differentiated & Superior Technologies” to meet above B&W goals, in key markets and with power brands. S&T-PCS team is employing Advance materials, Substrate Science and Digital to deliver Beautiful, Noticeable, Appearance Benefits to Skin & Hair. Teams focus is to deliver faster and cost-effective Innovations through Advanced Material Pillar using “Computational chemistry”. The purpose is to build multiyear innovation roadmap & impactful claims by combining insights driven by Substrate – Material - Product dynamics Computational chemistry. To meet our purpose, we need candidate with expertise in Materials Chemistry. The candidate should be able to demonstrate the ability to learning new digital capabilities, work on their own initiative and a desire to develop scientific skills. Main Accountabilities Develop In vitro capabilities & Technology pipeline to deliver consumer benefit through Sustainable materials & surface science insights Drive Design of Experiments to strengthen expertise area through proof of science. Build, learn and apply skills in modelling, cheminformatics skill to led technology funnel. Build IP funnel for differentiated & exclusive consumer benefits Delivers effective reporting of scientific data, including peer-reviewed publications Communicate and work closely with global team to incorporate new technologies into product Apply Growth Mind set through speed & teamwork KEY INTERFACES S&T Scientists (cross functional expertise) Design platform leaders Patent attorney Academic, Institutional & external partners Key Skills Strong hand-on experience in Materials Chemistry Experience in polymers or colloids chemistry Scientific writing and Literature analysis. Track record of working in collaborations. Relevant Experience M.Sc. in Chemistry (organic, Inorganic, polymer) Experience in Digital & Modelling Our commitment to Equality, Diversity & Inclusion Unilever embraces diversity and encourages applicants from all walks of life! This means giving full and fair consideration to all applicants and continuing development of all employees regardless of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage and civil partnership, and pregnancy and maternity. Show more Show less

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 Show more Show less

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 (Sr Associate) – ELN What You Will Do This role involves 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 maximizes 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 scientific software platforms such as Laboratory Information Management Systems (LIMS) that enable the capture of lab workflows & experimental data and Electronic Lab Notebooks (ELN) that act as Amgen’s System of Record ensuring data integrity and business continuity. 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 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 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 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. Basic Qualifications: Master’s degree with 1 - 3 years of experience in Life Sciences, Computer Science, IT, Computational Chemistry/Cheminformatics, Computational Biology/Bioinformatics or related field, OR Bachelor’s degree with 3 - 5years of experience in Life Sciences, Computer Science, IT, Computational Chemistry/Cheminformatics, Computational Biology/Bioinformatics or related field, OR Diploma with 7 - 9 years of experience in Life Sciences, Computer Science, IT, Computational Chemistry/Cheminformatics, Computational Biology/Bioinformatics or related field, OR 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 with Benchling, Revvity, IDBS, or similar LIMS/ELN platforms Preferred Qualifications: 3+ years of experience in designing and supporting biopharma scientific software platforms. Experience with Agile software development methodologies (Scrum) Experience performing or enabling data capture and analysis from instruments in a research laboratory or vivarium Ability to communicate technical or complex subject matters in business terms Knowledge of business analysis standard processes, DevOps, Continuous Integration, and Continuous Delivery methodology Experience with cloud (e.g. AWS) and on-premise infrastructure Experience designing and supporting ELN/LIMS platforms in biopharma 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. Show more Show less

About Amgen Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. About The Role Role Description: This role involves 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. 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. Roles & Responsibilities: 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 Manage 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 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 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. Basic Qualifications and Experience: Master’s degree with 1 - 3 years of experience in Life Sciences, Computer Science, IT, Computational Chemistry/Cheminformatics, Computational Biology/Bioinformatics or related field, OR Bachelor’s degree with 3 - 5 years of experience in Life Sciences, Computer Science, IT, Computational Chemistry/Cheminformatics, Computational Biology/Bioinformatics or related field, OR Diploma with 7 - 9 years of experience in Life Sciences, Computer Science, IT, Computational Chemistry/Cheminformatics, Computational Biology/ Bioinformatics or related field, OR Preferred Qualifications: 3+ years of experience in implementing and supporting LIMS platforms. Functional Skills: Must-Have Skills: 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. Good-to-Have Skills: 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 EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with 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 an accommodation. Show more Show less

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. Sr Associate Scientific Business Analyst – Biological Studies What You Will Do This role involves 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 maximises 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 scientific software platforms for different Research imaging techniques such as Digital Pathology, High Content Screening (HCS), cell imaging, cryo-EM, etc. You will implement and manage imaging capabilities 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 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 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 landmarks 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. Basic Qualifications: Master’s degree with 1 - 3 years of experience in Life Sciences, Computer Science, IT, Computational Chemistry/Cheminformatics, Computational Biology/Bioinformatics or related field, OR Bachelor’s degree with 3 - 5years of experience in Life Sciences, Computer Science, IT, Computational Chemistry/Cheminformatics, Computational Biology/Bioinformatics or related field, OR Diploma with 7 - 9 years of experience in Life Sciences, Computer Science, IT, Computational Chemistry/Cheminformatics, Computational Biology/ Bioinformatics or related field Functional Skills: Must-Have Skills: 3+ years of experience in designing and supporting Research imaging platforms. 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 with Proscia Concentriq, Deciphex Patholytix, HALO, Visiopharm, Revvity Signals Image Artist, Imaris, PSILO or similar imaging platforms Preferred Qualifications: Experience with Agile software development methodologies (Scrum) Experience performing or enabling image analysis from microscopes Ability to communicate technical or complex subject matters in business terms Knowledge of business analysis standard processes, DevOps, Continuous Integration, and Continuous Delivery methodology Experience with cloud (e.g. AWS) and on-premise infrastructure Experience designing and supporting scientific software platforms in biopharma 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. Show more Show less

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

India - Hyderabad JOB ID: R-214545 LOCATION: India - Hyderabad WORK LOCATION TYPE: On Site DATE POSTED: May. 13, 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. Scientific Business Analyst (Sr Associate) – ELN What you will do This role involves 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 maximizes 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 scientific software platforms such as Laboratory Information Management Systems (LIMS) that enable the capture of lab workflows & experimental data and Electronic Lab Notebooks (ELN) that act as Amgen’s System of Record ensuring data integrity and business continuity. 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 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 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 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. Basic Qualifications: Master’s degree with 1 - 3 years of experience in Life Sciences, Computer Science, IT, Computational Chemistry/Cheminformatics, Computational Biology/Bioinformatics or related field, OR Bachelor’s degree with 3 - 5years of experience in Life Sciences, Computer Science, IT, Computational Chemistry/Cheminformatics, Computational Biology/Bioinformatics or related field, OR Diploma with 7 - 9 years of experience in Life Sciences, Computer Science, IT, Computational Chemistry/Cheminformatics, Computational Biology/Bioinformatics or related field, OR 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 with Benchling, Revvity, IDBS, or similar LIMS/ELN platforms Preferred Qualifications: 3+ years of experience in designing and supporting biopharma scientific software platforms. Experience with Agile software development methodologies (Scrum) Experience performing or enabling data capture and analysis from instruments in a research laboratory or vivarium Ability to communicate technical or complex subject matters in business terms Knowledge of business analysis standard processes, DevOps, Continuous Integration, and Continuous Delivery methodology Experience with cloud (e.g. AWS) and on-premise infrastructure Experience designing and supporting ELN/LIMS platforms in biopharma 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. 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-208805 LOCATION: India - Hyderabad WORK LOCATION TYPE: On Site DATE POSTED: Feb. 28, 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. Senior Manager, Research Informatics – Biological Studies What you will do Let’s do this. Let’s change the world. In this vital role you will responsible for leading and charting the course for the Research Informatics Biological Studies team that enables technology and data capabilities for Amgen Research to evaluate drug candidates and assess their abilities to affect the biology of drug targets. The role will provide leadership to the team that implements software platforms that enable the capture, analysis, storage, and report of in vitro assays and in vivo / pre-clinical studies, as well as those that manage compound inventories / biological sample banks. This individual will be responsible for developing and leading a highly talented team that is built for delivering high-end and innovative technologies. As a scientific domain expert, this role will collaborate with cross-functional teams to identify strategies for implementation and adoption of standardized experimental data management platforms for drug discovery research. The ideal candidate will have a strong background in biopharma scientific domains as well as informatics solution delivery with a proven track record of leadership in technology-driven environments that facilitate R&D activities and has a passion for fostering innovation and excellence in the biotechnology industry. The candidate will have experience in evaluation and coaching of Technology Analysts and Managers, coupled with leadership and transformation experience. Additionally, collaboration with global teams is required to ensure seamless integration and operational excellence. This role demands the ability to drive and deliver against key organizational critical initiatives, foster a collaborative environment, and deliver high-quality results in a matrixed organizational structure. Roles & Responsibilities: Lead and manage diverse teams within a matrixed organization. Collaborate with geographically dispersed teams, including those in the US, EU, and other international locations. Provide technology delivery leadership and domain expertise for Biological Studies product teams that enable in silico, in vitro and in vivo experimentation. Partner with Research and Technology leaders to create technology delivery strategy and prioritized agenda for Biological Studies. Provide leadership for the implementation and support of specialized technology platforms that enable streamlined and automated scientific data management ensuring data integrity from lab to analytics. Ensure scientific data operations are scoped into building Research-wide Artificial Intelligence/Machine Learning capabilities. Follow global standards and practices. Foster a culture of collaboration, innovation, and continuous improvement. Develop talent, motivate the team, delegate effectively, champion diversity within the team and act as a role model of servant leadership. Manage, grow, and develop the Amgen Technology team in India, ensuring global ways of working are embedded in the local organization. Understand the decision-making process, workflows, and business and information needs of business partners and collaborators. Work with Product Owners, Service Owners and/or delivery teams to ensure that delivery matches commitments, acting as a partner concern point and facilitating communication when service commitments are not met. Ensure communication of key performance metrics and analysis of unmet needs. Ensure ongoing alignment with strategy, compliance, and regulatory requirements for technology investments and services. Facilitate standard methodology sharing, ensuring ongoing alignment with the Technology & Digital strategy. Oversee operating budgets and product team budgets, ensuring regular review of actuals and latest estimates, managing according to agreed governance. Ensure alignment of Technology service plans across organization. Provide education to new partners with regards to Technology service offerings. Remain accountable for ensuring overall organizational compliance to quality/compliance requirements such as GXP and Privacy. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Master’s degree and 8 to 10 years of Life Sciences, Computer Science, IT, Computational Chemistry/Cheminformatics, Computational Biology/Bioinformatics or related field, OR OR Bachelor’s degree and 10 to 14 years of [Job Code’s DisciLife Sciences, Computer Science, IT, Computational Chemistry/Cheminformatics, Computational Biology/Bioinformatics or related field, OR Diploma and 14 to 18 years of Life Sciences, Computer Science, IT, Computational Chemistry/Cheminformatics, Computational Biology/Bioinformatics or related field, OR Demonstrated expertise in a scientific domain area and related technology needs Experience performing or enabling data capture and analysis from instruments in a research laboratory or vivarium Excellent problem-solving skills and a passion for tackling complex challenges in drug discovery with technology and data Demonstrated experience building strong teams with consistent practices in a matrix organization Preferred Qualifications: 6+ years of experience in implementing and supporting biopharma scientific software platforms. Experience in a leadership role within a pharmaceutical or technology organization Demonstrated expertise enabling technology for drug discovery research capabilities such as high throughput screening, high content imaging, in vitro assay technologies, compound inventory management, in vivo studies, digital pathology, PK/PD assessments, GLP tox studies, etc. Experience leading the implementation of scientific software platforms, Electronic Lab Notebook (ELN), and 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). 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 Strong analytical/critical-thinking and decision-making abilities Ability to work effectively in a fast-paced, dynamic environment Experience in establishing business partnerships and IS governance practices involving senior business collaborators Professional Certifications SAFe Agilist, Certified Agile Leader or similar (preferred) Soft Skills: Excellent leadership and team management skills Strong transformation and change management experience Exceptional collaboration and communication skills 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 Ability to work effectively with global, virtual teams 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. for a career that defies imagination Objects in your future are closer than they appear. Join us. 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-211223 LOCATION: India - Hyderabad WORK LOCATION TYPE: On Site DATE POSTED: Mar. 28, 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. Scientific Business Analyst (Associate) – ELN What you will do This role involves 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. 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 scientific software platforms such as Laboratory Information Management Systems (LIMS) that enable the capture of lab workflows & experimental data and Electronic Lab Notebooks (ELN) that act as Amgen’s System of Record ensuring data integrity and business continuity. 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. 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 Manage 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 landmarks 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. Basic Qualifications: Bachelor’s degree with 0 - 3 years of experience in Life Sciences, Computer Science, IT, Computational Chemistry/Cheminformatics, Computational Biology/Bioinformatics or related field, OR Diploma with 4 - 7years of experience in Life Sciences, Computer Science, IT, Computational Chemistry/Cheminformatics, Computational Biology/Bioinformatics or related field, OR 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 with Benchling, Revvity, IDBS, or similar LIMS/ELN platforms Preferred Qualifications: Experience with Agile software development methodologies (Scrum) Experience performing or enabling data capture and analysis from instruments in a research laboratory or vivarium Ability to communicate technical or complex subject matters in business terms Knowledge of business analysis standard processes, DevOps, Continuous Integration, and Continuous Delivery methodology Experience with cloud (e.g. AWS) and on-premise infrastructure Experience supporting ELN/LIMS platforms in biopharma 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. 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.

A Day in Your Life at MKS: As an Application Developer, Data Analytics at MKS MSD, you will collaborate closely with the Data Analytics team to support ELN, Spotfire, and related initiatives. Reporting to the Data Analytics Team Manager, you will apply various methods and strategies to assist multiple departments across the organization. This role involves working alongside your immediate team, the team manager, R&D manager, and other cross-functional groups. Open, clear communication with both the team and R&D managers is essential. You’ll be encouraged to take initiative, propose your own ideas, and develop effective approaches to successfully carry out your responsibilities. You Will Make an Impact By: Leading the development and implementation of advanced data analytics techniques, with a strong emphasis on Cheminformatics applications. Acting as the super administrator for Electronic Laboratory Notebooks (ELNs) and data visualization platforms, ensuring their effective configuration, maintenance, and optimization. Collaborating with stakeholders to gather business requirements and translating them into impactful data analytics solutions. Partnering with cross-functional teams to seamlessly integrate data analytics capabilities into existing systems and workflows. Staying current with emerging trends and innovations in Cheminformatics, Data Science, and related fields, and advising on their strategic application within the organization. Promoting a culture of continuous improvement and innovation by encouraging the adoption of new tools and methodologies to advance analytics performance. Ensuring all data analytics initiatives adhere to data privacy and security standards Contributing original ideas and strategic approaches to enhance project outcomes. Maintaining clear, consistent communication with stakeholders regarding task progress and deliverables. Demonstrating initiative and self-motivation in upholding work culture and achieving goals. Engaging actively in team-building efforts to support a collaborative and positive work environment. Respecting and protecting the confidentiality of all departmental and project-related information. Skills You Bring: B.E/B.Tech/M.Sc in Computer Science, Data Science, Statistics, Chemical Sciences, or a closely related discipline. At least 3 years of relevant professional experience in data analytics or a related technical field. Hands-on experience with Revvity Signals ELN and TIBCO Spotfire, including administration and customization will be an advantage. Expertise in customizing ELN templates, scripts, and workflows to align with both research and regulatory requirements. Proficiency in diagnosing and resolving ELN-related technical issues, providing timely support and troubleshooting. Experience collaborating with scientists, research teams, and IT departments to gather and translate technical and functional requirements. Ability to deliver user training and ongoing support for research and laboratory staff. Advanced knowledge of Cheminformatics and Data Science techniques, tools, and best practices. Proven leadership skills and the ability to foster strong, collaborative teams. Strong stakeholder management capabilities with the ability to clearly communicate complex technical ideas to non-technical audiences. Competence in task prioritization, project planning, and defining clear next steps. Excellent communication, interpersonal, and teamwork skills. A self-starter mindset with creative problem-solving abilities, a strong sense of ownership, and a drive for continuous improvement. Preferred Skills: (Optional) Familiarity with data visualization tools such as Power BI or Tableau. Hands-on experience with at least one programming language, preferably C++ or Python. Basic understanding of system architectures and data flow diagrams. Exposure to automation control systems and robotics applications. Knowledge of digital transformation concepts and their implementation in research or technical environments. Show more Show less

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 Show more Show less

Profile Ph.D. in Biotechnology Areas: Genomics, Immuno-technology, mRNA therapeutics, Host-Pathogen Interactions, Plant Metabolic Engineering, Genetic Disorders, Cancer biomarkers, Gene Therapy, Bioprocess Technology, Food Processing & Nutrition, Agri-Biotech, Precision therapeutics, Nanobiotherapeutics, Biomedical devices; Ph.D. in Computational Biology Areas: AI in Health Care, Disease Modelling, Biomedical Image Analytics, Clinical Informatics, Computational Genomics, Computer-Aided Drug Discovery, Cheminformatics; Differentiators Faculties trained in worlds top institutions: Cornell University; Harvard Medical School; Johns Hopkins University; University Bonn; University Groningen; Wageningen University; Washington University; UIUC; University Wisconsin, Madison; University Texas at Austin; NIH; IIITH; IIT Dhanbad; Infrastructure and Connections NVIDIA supercomputer; Established research ecosystem through internal and external funding and state-of-the-art instruments & labs of > 10 Cr; Connect with Biotech, Biopharma and Medical industries, including Hyderabad Life Science cluster; Fellowship Rs.30,000/month & free on-campus boarding and lodging. Qualification Masters (or 4-Yr Bachelor degree) in any field of Life Sciences / Nanobiotechnology / Nanotechnology / Physics / Biophysics / Chemistry / Bioinformatics / Statistics / Chemical Engineering / Computer Science, etc. Masters: CGPA of 6.00 out of 10 or 60 PERCENT marks. For 4-Yr Bachelor degree: CGPA of 7.00 out of 10 or 70 PERCENT marks. To Apply Offline written exam and offline interview at Mahindra University, Hyderabad on 14-06-2025. Application Form : Application Form Link Application Procedure : Application Procedure Link Show more Show less

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world. Company Overview: At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our 39,000 employees around the world work to discover and bring life-changing medicines to those who need them the most, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world. Tech@Lilly builds and maintains capabilities using cutting edge technologies like most prominent tech companies. What differentiates Tech@Lilly is that we redefine what’s possible through tech to advance our purpose – creating medicines that make life better for people around the world, like data driven drug discovery and connected clinical trials. We hire the best technology professionals from a variety of backgrounds, so they can bring an assortment of knowledge, skills, and diverse thinking to deliver innovative solutions in every area of our business. LRL Tech unites science with technology to accelerate the Research and Development of medicines and to deliver therapeutic innovations. The team leverages technology and platforms to streamline scientific experimentation to help Researchers follow the science, to understand the disease and identify potential therapies. They are at the forefront of advanced analytics to enable data driven drug discovery, to innovate so Scientists can rapidly analyze and accelerate the discovery of new medicines. Position Overview: We are looking for a hands-on, Advisor - Informatics & Scientific Applications Architect to design and deliver next-generation digital platforms supporting drug discovery, preclinical research, analytical sciences, and CMC applications. This role demands deep expertise in AWS serverless architectures, cloud-native designs, automation, and microservices for scientific data applications. You will play a key leadership role in architecting multi-tenant, high-performance, modular, and scalable informatics ecosystems that integrate scientific workflows, computational platforms, and cloud infrastructure. Key Responsibilities: Architectural Leadership: Architect and build a multi-tenant, serverless informatics platform leveraging AWS Lambda, DynamoDB, S3, EBS, EFS, Route 53, and API Gateway. Design data partitioning strategies for multi-tenant scientific data storage and explore microservices frameworks for scalable architecture. Lead cloud-native software design using Kubernetes, Docker, and containerized services, ensuring high reproducibility and scalability of scientific applications. Build scalable Research Data Lakes, asset registries, and metadata catalog to support large-scale scientific data ingestion and retrieval. Complex Scientific Data Flow & Interoperability: Architect frameworks that facilitate seamless data exchange between discovery research systems, including LIMS, ELN, analytical tools, and registration systems. Implement RESTful and GraphQL APIs for high-performance data interoperability across computational models, bioassays, and experimental workflows. Establish scientific data standards to ensure consistency, traceability, and governance across the R&D landscape. Scientific Workflow Automation & Computational Frameworks: Architect scientific workflow automation platforms using Apache Airflow, EventBridge, RabbitMQ, and Kafka, enabling real-time data acquisition and bioassay processing. Design platforms supporting in silico modeling, AI-driven analytics, and high-throughput screening simulations. Integrate Cloud (AWS/Azure) platforms with HPC clusters to handle bioinformatics, cheminformatics, and translational modeling workloads. Cloud, DevOps, and Observability: Maintain deep technical hands-on expertise with AWS CloudFormation, Ansible, Jenkins, Git, and other DevOps automation tools. Implement observability solutions using Prometheus, Grafana, OpenTelemetry to monitor system health, performance, and workflows. Continuously learn, explore, and drive adoption of cutting-edge cloud-native, containerization, serverless, and scientific informatics trends. Cross-Functional Scientific Collaboration: Collaborate closely with scientists, data scientists, computational biologists, formulation teams, and manufacturing engineers to co-create informatics solutions. Serve as a trusted technical advisor for cloud migration, scientific data modernization, and AI/ML integration projects. Work with UI/UX teams to create intuitive digital interfaces for scientific workflow automation and data exploration. Technology Strategy, Governance & Best Practices: Drive architectural strategy, making informed decisions around buy vs. build, third-party integrations, and platform extensibility. Define and enforce best practices for scientific IT security, data privacy, compliance (GxP, FAIR), and cloud operations. Champion a modular, service-oriented, event-driven architecture to enable rapid innovation, maintainability, and scalability. Required Qualifications: Experience: 10+ years of enterprise IT and scientific informatics architecture experience. Deep technical leadership experience in AWS serverless and scientific data integration projects. Proven experience building cloud-native, scalable platforms integrating LIMS, ELN, MES, compound registries, and scientific analysis tools. Education: Bachelor’s or Master’s degree in Computer Science, Bioinformatics, Information Systems, or related disciplines. Technical Expertise: Expertise in AWS serverless architectures (Lambda, DynamoDB, S3, Route53, API Gateway), containerized platforms (Kubernetes, Docker), and scientific workflow tools (Airflow, Kafka, EventBridge). Strong knowledge of microservices design, DevOps automation, scientific data systems, and HPC integration. Experience in observability setup for complex distributed systems in scientific environments. Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status. #WeAreLilly