40 Biopharma Jobs

What you will do 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 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 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 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 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. Basic Qualifications: Masters degree and 4 to 6 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR Bachelors degree and 6 to 8 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR Diploma and 10 to 12 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field 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 such as Benchling, Revvity, IDBS, STARLIMS, Watson, LabVantage, etc. Experience using platforms such as Spotfire, Tableau, Power BI, etc., to build dashboards and reports Preferred Qualifications: 5+ years of experience in designing and supporting biopharma scientific software platforms Experience leading 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 Experience in establishing business partnerships and IS governance practices involving senior business collaborators Knowledge of business analysis standard methodologies, 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 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, well support your journey every step of the way.

Strategic: Work towards continues improvements in automation & instrumentation to bring down the cost and technology advancement. Plant upgradation works planning, execution on Periodical basis. Able to visualize & plan the activity related to overall Project execution. Plan & execute the work towards the management goals. Able to handle DS and DP equipment’s Updated & aware of GAMP5, cGMP, statutory guidelines & standards requirements for automation and instrumentation. Plan for implementation of Automation layers Aware & update the latest software related to Automation & Instrumentation, DP, DS. Operational: Monitor the overall activity of Automation and Instrumentation activities. Plant level Automation and instrumentation breakdown diagnostics and maintenance for DP, DS, QC, EMS, BMS & Utilities. Support to Automation Layers implementation and validation. Calibration management including planning, execution, documentation and control for the plant level. Automation to support for upstream and downstream processing of MAbs/therapeutic proteins such as microbial, cell culture, chromatography, TFF, blast freezing, CIP/ SIP etc. Technical site support for CCTV, Access control, Door interlock. However main responsibility of maintaining & trouble shooting, planning & execution rests with facility management department. Coordinate with EHS team for trouble shooting of Fire alarm, PAS, VESDA & Gas suppression system. Technical site support for IT team for Data & Internet connectivity. However, main responsibility of maintaining & trouble shooting, planning & execution rests with IT department. Preparation/Review of SOP, Preventive Maintenance schedule/planner, Documentation etc. Coordination with user departments & plan for Preventive/Breakdown/ Calibration maintenance. Ensure smooth operation of plant & machinery to avoid breakdowns & production loss. And Coordination with user departments & plan for Preventive/Breakdown maintenance. Monitoring of outsource agency for plant operation. Review & coordinate for finalization of agreements. Preparation/Review/Training of SOP, Preventive Maintenance, Break down Maintenance, Schedule, Planning. Support Audit & follow Statutory Compliance. Review & approval of P & ID along with control & function layout drawings and electrical drawings. Prepare/ Review/ Execution of SLIA, URS, DQ, QRM, CLIA, FAT, SAT, IQ, OQ & Support for PQ. Monitoring of outcome agency for plant operation. Review & coordinate for finalization of agreements. Preparation and execution of QMS documents in the department. Goal setting to team members & annual review. Providing the same to the department head for review & approval. People: Shift scheduling, Manpower planning, reporting & Shift operations. Contract / Service provider Manpower/activities planning, reporting.

New Business Development, taking care of the existing client funnel, responsible for revenue generation, Market survey to add new territories, revenue generation, Coordination with other Department to solve Customer query & provide Documentation

What you will do Let’s do this. Let’s change the world. In this vital role you will work for Research Informatics and you will be responsible for development and maintenance of software in support of target/biomarker discovery at Amgen. This role requires expertise in code development (e.g. Python, Nextflow, R, etc), some systems administration / application management knowledge, experience with CI/CD processes and cloud computing technologies (e.g. AWS, Google Cloud, etc). Additionally, experience in working withmulti-functionall teams that include software/data engineers, business analysts, architects, cloud infrastructure teams and experience in agile practices, along with effective communication skills are highly desired. Develop software to transform and visualize omics (genomics, proteomics, transcriptomics) data using programming languages such as Python, Java, R. Develop data processing pipelines for large datasets in the cloud (e.g. Nextflow); integrate with other data sources where applicable Collaborate with the other engineering team members to ensure all services are reliable, maintainable, and well-integrated into existing platforms Adhere to best practices for testing and designing reusable code Ensure effective communication between scientific area management, technical staff and vendors to analyze scientific needs and implement informatics solutions in data acquisition, integration and analysis What we expect of you Master’s degree and 4 to 6 years of in Software Development, IT, or related field, OR Bachelor’s degree and 6 to 8 years of in Software Development, IT, or related field, OR Diploma and 10 to 12 years of in Software Development, IT, or related field. Basic Qualifications: Proficiency in code development (Python, R) and the software development lifecycle Experience with Application development (RShiny, Ploty Dash, etc) Proficient with SQL and relational databases (e.g PostgreSQL, MySQL, Oracle, Databricks) Experience with cloud computing platforms and infrastructure Preferred Qualifications: 3+ years of experience in biopharma or life sciences Experience in pipeline development using one or more of the following programming languages (Python, Nextflow, etc) Experience in RESTFul API development e.g flask, MuleSoft Experience with Benchling (LIMS) development Experience with Bioinformatics tools, development and usage Experience with installing software and configuring linux-based systems Experience with AI/ML tools e.g. Sagemaker, LLM Work experience in the biotechnology or pharmaceutical industry. Experience using and adopting Agile Framework Professional Certifications (please mention if the certification is preferred or mandatory for the role): Agile certifications (e.g. SAFe) – (preferred) Cloud Computing (AWS) – (preferred) Soft Skills: Strong learning agility, ability to pick up new technologies used to support early drug discovery data analysis needs Collaborative with good communication skills. High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented with a focus on achieving team goals. 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 .

What you will do Let’s do this. Let’s change the world. In this vital role you will be responsible for Research Informatics and you will be responsible for development and maintenance of software in support of target/biomarker discovery at Amgen. This role requires proficiency in code development (e.g. Python, R, etc), and some knowledge of CI/CD processes and cloud computing technologies (e.g. AWS, Google Cloud, etc). Additionally, the ability to work with cross functional teams and experience in agile practices is desired. Develop software to transform and visualize omics (genomics, proteomics, transcriptomics) data using programming languages such as Python, Java, R. Develop data processing pipelines for large datasets in the cloud (e.g. Nextflow); integrate with other data sources where applicable Collaborate with the other engineering team members to ensure all services are reliable, maintainable, and well-integrated into existing platforms Adhere to best practices for testing and designing reusable code What we expect of you Master’s degree and 1 to 3 years of in Software Development, IT, or related field, OR Bachelor’s degree and 3 to 5 years of in Software Development, IT, or related field, OR Diploma and 7 to 9 years of in Software Development, IT, or related field. Basic Qualifications: Proficiency in code development (Python, R) and the software development lifecycle Proficient with SQL and relational databases (e.g PostgreSQL, MySQL, Oracle) Experience with command-line interface on Linux-based systems Preferred Qualifications: 2+ years of experience in biopharma or life sciences Experience in RESTFul API development e.g flask, MuleSoft Experience in pipeline development using one or more of the following programming languages (Python, Nextflow, etc) Experience with Databricks Experience with cloud computing platforms and infrastructure Experience with Application development (Django, RShiny, Ploty Dash, etc) Work experience in the biotechnology or pharmaceutical industry. Experience using and adopting Agile Framework Soft Skills: Strong learning agility, ability to pick up new technologies used to support early drug discovery data analysis needs Collaborative with good communication skills. High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented with a focus on achieving team goals. 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 .

What you will do Let’s do this. Let’s change the world. In this vital role you will be responsible for designing, developing, and maintaining software solutions for Research scientists. Additionally, it involves automating operations, monitoring system health, and responding to incidents to minimize downtime. 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 chemistry-focused software platforms that enable small molecule design, synthesis, testing, and analytics. The ideal candidate possesses experience in the pharmaceutical or biotech industry, strong technical skills, and full stack software engineering experience (spanning SQL, back-end, front-end web technologies, automated testing). Take ownership of complex software projects from conception to deployment Manage software delivery scope, risk, and timeline Possesses strong rapid prototyping skills and can quickly translate concepts into working code Contribute to both front-end and back-end development using cloud technology Develop innovative solution using generative AI technologies Conduct code reviews to ensure code quality and consistency to standard methodologies Create and maintain documentation on software architecture, design, deployment, disaster recovery, and operations Identify and resolve technical challenges effectively Stay updated with the latest trends and advancements Work closely with product team, business team including scientists, and other collaborators Design, develop, and implement applications and modules, including custom reports, interfaces, and enhancements Analyze and understand the functional and technical requirements of applications, solutions and systems and translate them into software architecture and design specifications Develop and implement unit tests, integration tests, and other testing strategies to ensure the quality of the software Identify and resolve software bugs and performance issues Work closely with multi-functional teams, including product management, design, and QA, to deliver high-quality software on time Maintain detailed documentation of software designs, code, and development processes Customize modules to meet specific business requirements Work on integrating with other systems and platforms to ensure seamless data flow and functionality Provide ongoing support and maintenance for applications, ensuring that they operate smoothly and efficiently What we expect of you Master’s degree and 1 to 3 years of Computer Science, IT, Computational Chemistry/ Cheminformatics, Chemical Engineering or related field OR Bachelor’s degree and 3 to 5 years of Computer Science, IT, Computational Chemistry/ Cheminformatics, Chemical Engineering or related field OR Diploma and 7 to 9 years of Computer Science, IT, Computational Chemistry/ Cheminformatics, Chemical Engineering or related field. Basic Qualifications: Proficient in a General Purpose High Level Languages (e.g. Python, Java, C#.NET) Proficient in a Javascript UI Framework (e.g. React, ExtJs) Proficient with SQL (e.g. Oracle, PostGres, Databricks) Preferred Qualifications: 3+ years of experience in implementing and supporting biopharma scientific software platforms Strong understanding of software development methodologies, mainly Agile and Scrum Hands-on experience with Full Stack software development Strong understanding of cloud platforms (e.g AWS) and containerization technologies (e.g., Docker, Kubernetes) Working experience with DevOps practices and CI/CD pipelines Experience with big data technologies (e.g., Spark, Databricks) Experience with API integration, serverless, microservices architecture (e.g. Mulesoft, AWS Kafka) Experience with monitoring and logging tools (e.g., Prometheus, Grafana, Splunk) Experience of infrastructure as code (IaC) tools (Terraform, CloudFormation) Experience with version control systems like Git Experience with automated testing tools and frameworks Experience with chemistry-focused software platforms (e.g., Revvity Signals Notebook, ACD/Labs, ChemAxon, Schrdinger LiveDesign/PyMOL/Maestro, BIOVIA Pipeline Pilot), compound registration systems, and AI tools for drug design. Professional Certifications: AWS Certified Cloud Practitioner (preferred) SAFe for Teams certification (preferred) Soft Skills: Excellent problem solving, analytical, and troubleshooting skills Strong communication and interpersonal skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to learn quickly & work independently Team-oriented, with a focus on achieving team goals Ability to manage multiple priorities successfully 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 .

Scientific Business Analyst (Specialist) – R&D Omics What you will do Let’s do this. Let’s change the world. 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 software and infrastructure that enables the capture, analysis, storage, and report of pre-clinical and clinical omics (genomics, proteomics, transcriptomics etc.) data. 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 Translate complex scientific and technological needs into clear, actionable requirements for development teams Stay updated with industry trends, technological advancements, and scientific progress in Omics techniques, including data generation, processing, and analysis 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 documentation, 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 and Experience: PhD with 1 - 3 years of experience in Life Sciences, Computer Science, IT, Computational Biology/Bioinformatics or related field, OR Master’s degree with 4 - 6 years of experience in Life Sciences, Computer Science, IT, Computational Biology/Bioinformatics or related field, OR Bachelor’s degree with 6 - 8 years of experience in Life Sciences, Computer Science, IT, Computational Biology/Bioinformatics or related field, OR Diploma with 9+ years of experience in Life Sciences, Computer Science, IT, Computational Biology/Bioinformatics or related field Preferred Qualifications: 4+ years of experience in implementing and supporting biopharma scientific software platforms. Functional Skills: Must-Have Skills: Expertise in Omics data (Genomics, Proteomics, Transcriptomics etc.), oncology data Experience with bioinformatics tools and research workflows used to manage omics data Good understanding of database technology (e.g. RDBMS, Databricks) Experience with writing user requirements and acceptance criteria in agile project management systems such as JIRA Experience with cloud (e.g. AWS) and on-premise infrastructure Good-to-Have Skills: Experience using platforms such as Spotfire, Tableau, Power BI, etc., to build dashboards and reports Knowledge of handling GxP data and system validation (i.e. GCP) Understanding of AI and machine learning for drug discovery research and preclinical development In-depth knowledge of Agile processes and principles for coordinated solutions and teams via SAFe Experience managing vendors, licenses in support of a Product team Knowledge of business analysis best practices, DevOps, Continuous Integration, and Continuous Delivery methodology Experience with platforms such as Benchling, or other LIMS 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.

Scientific Business Analyst (Sr Associate) – Large Molecule Discovery What you will do Let’s do this. Let’s change the world. In this vital role you will involve 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 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 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 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 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 4 - 6 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 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 leveraging 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 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 we expect of you We are all different, yet we all use our unique contributions to serve patients. 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.

Role & responsibilities To generate the correct EPLAN drawings. To deliver the correct bill of material and E-plan drawing as per schedule Study & Understand the new project from P&ID and Order Confirmation Interact with customer along with project / sales team to understand the customer needs by visiting customer location Understand scope of the project as per the inputs from Order by participating Kickoff meetings Analyze and extract the required inputs for automation from Engineering department Understand the final process/out come at customer end from Process Engineering department According to inputs prepare electrical drawings by using E-plan software Preferred candidate profile Must have experience of Sterile/ Injectibles/ Biopharma division. Hands on Experience on EPLAN Knowledge of AutoCAD software

Role & responsibilities 1. Study& Understand of Project from P&I Diagram & Functional Specification Document. 2. Development Of Siemens PLC& WinCC SCADA or Rockwell PLC and SCADA. 3. Testing & Deliver PLC & SCADA program with quality & accuracy w.r.t. Functional Specification. 4. Co-ordination across cross fucntional team like QA,Process,Engineering,Factory. 5. Participating project kick-off , Internal FAT & customer FAT. 6. Site visit for commissioning. 7. Compliance of customer queries at the time Of FAT. Preferred candidate profile Must have experience of Sterile/ Injectibles/ Biopharma division.

In this vital role, you will design, build, and maintain data lake solutions for scientific data that drive business decisions for Research. You will build scalable and high-performance data engineering solutions for large scientific datasets and collaborate with Research customers. Responsibilities Design, develop, and implement data pipelines, ETL/ELT processes, and data integration solutions. Take ownership of data pipeline projects from inception to deployment, including scope, timelines, and risks. Develop and maintain data models for biopharma scientific data, data dictionaries, and other documentation to ensure data accuracy and consistency. Optimize large datasets for query performance. Collaborate with global multi-functional teams, including research scientists, to understand data requirements and design solutions that meet business needs. Implement data security and privacy measures to protect sensitive data. Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions. Collaborate with Data Architects, Business SMEs, Software Engineers, and Data Scientists to design and develop end-to-end data pipelines to meet fast-paced business needs across geographic regions. Identify and resolve complex data-related challenges. Adhere to standard methodologies for coding, testing, and designing reusable code/component. Explore new tools and technologies that will help to improve ETL platform performance. Participate in sprint planning meetings and provide estimations on technical implementation. Maintain comprehensive documentation of processes, systems, and solutions. Basic Qualifications Master's degree with 4 - 6 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics, or related field. OR Bachelor's degree with 6 - 8 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics, or related field. OR Diploma with 10 - 12 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics, or related field. Preferred Qualifications 3+ years of experience in designing and supporting biopharma scientific research data pipelines. Must-Have Skills Proficiency in SQL and Python for data engineering, test automation frameworks (pytest), and scripting tasks. Hands-on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), workflow orchestration, and performance tuning on big data processing. Excellent problem-solving skills and the ability to work with large, complex datasets. Good-to-Have Skills A passion for tackling complex challenges in drug discovery with technology and data. Experience writing and maintaining technical documentation in Confluence. Professional Certifications Databricks Certified Data Engineer Professional (preferred).

Walk-In Drive at Cotiviti Pune for Life science graduates on 7th June 2025 for Healthcare Audit process Walk-In Date: 7-June-2025 (Saturday) Time 9:00 Am 1:00 Pm Venue: C otiviti India Pvt Ltd Plot C, Podium Floor, Binarius/Deepak Complex, Opposite Golf Course, Yerwada, Pune- 411006. We are hiring for the Healthcare Data Audit process at Cotiviti. Please refer to the information below and required skill set for the same. POSITION SUMMARY: Specialist Payment Accuracy position is an entry level position responsible for auditing client data and validating claim accuracy. Communicates audit recommendations and outcomes to supervisory auditor for evaluation, verification and continuous learning. POSITION REQUIREMENTS: Life science Graduation mandatory. Excellent communication skills. Computer proficiency in Microsoft Office (Word, Excel, Outlook); Access preferred Strong interest in working with large data sets and various databases Must be flexible working in fixed/rotational shifts Immediate joiners preferred Good energy and Positive attitude Long Term Career Orientation If the above profile interests you then please walk-in for the interview. Please refer to the above mentioned walk-in details. Please bring your updated Resume along with an ID Proof. Best regards, COTIVITI

Walk-In Drive Hyderabad | June 1, 2025 Join our growing team at OneSource The new way to CDMO We're hiring for multiple roles across our R&D and Manufacturing facilities in Bengaluru. Walk-In Interview Details: Date: Sunday, June 1, 2025 Time: 9:00 AM 4:00 PM Venue: Oakwood Residence, 115/1, Road No. 2, Financial District, Gachibowli, Hyderabad, Telangana 500032 Open Positions: Process Development Lab (Unit 1, Bommasandra) Research Associate | Sr. Research Associate | Scientist Qualification: B.Tech / M.Tech (Biotechnology) Experience: 2 – 12 years Drug Substance Manufacturing (Unit 2, Doddaballapura) Executive | Sr. Executive Qualification: MSc / B.Tech / M.Tech (Biotech, Microbiology) Experience: 2 – 8 years Drug Product Manufacturing (Unit 2, Doddaballapura) Executive | Sr. Executive | Team Leader Qualification: B.Sc / M.Sc / B.Pharm / M.Pharm Experience: 2 – 12 years in sterile injectables

Role- AGM- International Business development- LATAM; East Europe / Russia CIS Company- A leading Biopharmaceutical Company Location- Bangalore Reporting To- VP- BD Roles and Responsibilities This role requires a dynamic individual with excellent analytical skills, strategic thinking, and the ability to manage complex projects and partnerships across semi-regulated markets, including Emerging Markets Latin America, Europe, . Expertise in sales and marketing within these regions is essential. Develop international business strategies to drive growth in overseas markets. Identify new opportunities for product launches and market expansions. Analyze market trends, competitor activity, and customer needs to inform business decisions. Deep & hands on understanding on the Documentation, Regulatory ecosystem/landscape, Dossier preparation to submission, facilitation at target market Identify and evaluate opportunities for in-licensing and out-licensing of Plasma Derived Products / Critical Care / Oncology / Vaccine / Biohpharma products across semi-regulated markets. Manage relationships with key customers, distributors, and partners. Will be responsible for managing International BD for regions such as- LATAM; East Europe / Russia CIS Desired Skills Post Graduation Degree in Business Management or Life Sciences. Total 15+ years of relevant pharmaceutical industry experience. Strong background in bio-pharmaceutical international business, particularly in semi-regulated markets such as Latin America, Europe, Emerging Market Expertise in sales and marketing within these regions. Sound knowledge of the global pharmaceutical industry (Biologics (Biopharm; Oncology. Critical Care, Vaccines. Strong analytical skills with advanced knowledge of Excel and PowerPoint. Excellent verbal and written communication skills with the ability to network effectively.

Job Description (Head R&D) 1) To build and direct a team for the development of processes for the commercial manufacture of plasma derived therapeutic proteins. The responsibilities will include the following; a) Identification of plasma derived products that can be developed for commercialisation. b) Review of published literature including patents to understand the existing product, process and formulation. c) Plan the development of scalable processes for the purification and formulation of proteins from human blood plasma. d) Plan for process validation, packaging material development, stability studies, alternate vendor development studies. e) Coordinate training, scale-up and technology transfer to production including trouble shooting for Production batches. f) To continue to evaluate the processes for improved yield and purity, incorporating the latest technologies so as to be able to deliver products that are in line with global quality standards. 2) To build and direct a team for the Analytical development of pharmacopoeial & in-house test methods for products developed by the process development team. The responsibilities will include the following; a) Identification of compendial methods for quality testing of plasma derived therapeutic products, human plasma bags received from blood banks, microbiological tests and chemical tests for raw materials/packaging materials. b) To develop in-house methods where suitable compendial methods are not available. c) To validate all test methods as per ICH guidelines d) To coordinate training and transfer of test methods to QC departments for routine batch testing and release. e) To continue to evaluate the methods and incorporate the latest test methods in accordance with the pharmacopoeial revisions to deliver good and safe quality products to the market. 3) To plan and direct a team for preparation, review and transfer of documents to QA and concerned departments. The documents will include the following; a) Process development reports (PDRs) for all products taken up in Process R&D b) Technology Transfer Dossier (TTD) for process / method to Production / QC c) Master Manufacturing Process & Formula d) Process Validation Reports e) Cleaning Validation Reports f) Analytical Method development/ qualification reports and STPs g) Technical documents for Regulatory submissions to Drug Offices and Product registrations for export to other countries.

Open Positions: Officer / Executive / Sr Executive Quality Assurance & Quality Control : Analytical Skill on HPLC, Electrophoresis, Microbiology, Document Review, IPQA, Quality Systems, GMP Compliance, QA-QMS Biosimilars Manufacturing: Downstream (Operation of Chromatography systems) & Upstream (Handling of Single use and Stainless-steel bioreactors) Experience: 2 to 10 years of relevant experience in Biopharmaceutical Qualification: B Sc / B. Pharm/B Tech / M Sc in Microbiology / Biotechnology / Chemistry/M. Pharm Date : 01st June 2025, Sunday Time : 08:30 AM to 06:00 PM (Registration will be closed by 12:00 PM) Venue : Hotel Pride , 5, University Rd, Narveer Tanaji Wadi, Shivajinagar, Pune, Maharashtra 411005, India Note: All positions are based out at Pune, Gotawade.

Drive B2B sales by acquiring beauty brands, managing client needs, coordinating with internal teams, and ensuring timely delivery, compliance, and relationship growth.

Sr Semantic Engineer – Research Data and Analytics What you will do Let’s do this. Let’s change the world. In this vital role you will be part of Research’s Semantic Graph Team is seeking a dedicated and skilled Semantic Data Engineer to build and optimize knowledge graph-based software and data resources. This role primarily focuses on working with technologies such as RDF, SPARQL, and Python. In addition, the position involves semantic data integration and cloud-based data engineering. The ideal candidate should possess experience in the pharmaceutical or biotech industry, demonstrate deep technical skills, and be proficient with big data technologies and demonstrate experience in semantic modeling. A deep understanding of data architecture and ETL processes is also essential for this role. In this role, you will be responsible for constructing semantic data pipelines, integrating both relational and graph-based data sources, ensuring seamless data interoperability, and leveraging cloud platforms to scale data solutions effectively. Roles & Responsibilities: Develop and maintain semantic data pipelines using Python, RDF, SPARQL, and linked data technologies. Develop and maintain semantic data models for biopharma scientific data Integrate relational databases (SQL, PostgreSQL, MySQL, Oracle, etc.) with semantic frameworks. Ensure interoperability across federated data sources, linking relational and graph-based data. Implement and optimize CI/CD pipelines using GitLab and AWS. Leverage cloud services (AWS Lambda, S3, Databricks, etc.) to support scalable knowledge graph solutions. Collaborate with global multi-functional teams, including research scientists, Data Architects, Business SMEs, Software Engineers, and Data Scientists to understand data requirements, design solutions, and develop end-to-end data pipelines to meet fast-paced business needs across geographic regions. Collaborate with data scientists, engineers, and domain experts to improve research data accessibility. Adhere to standard processes for coding, testing, and designing reusable code/components. Explore new tools and technologies to improve ETL platform performance. Participate in sprint planning meetings and provide estimations on technical implementation. Maintain comprehensive documentation of processes, systems, and solutions. Harmonize research data to appropriate taxonomies, ontologies, and controlled vocabularies for context and reference knowledge. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications and Experience: Doctorate Degree OR Master’s degree with 4 - 6 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR Bachelor’s degree with 6 - 8 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR Diploma with 10 - 12 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field Preferred Qualifications and Experience: 6+ years of experience in designing and supporting biopharma scientific research data analytics (software platforms) Functional Skills: Must-Have Skills: Advanced Semantic and Relational Data Skills: Proficiency in Python, RDF, SPARQL, Graph Databases (e.g. Allegrograph), SQL, relational databases, ETL pipelines, big data technologies (e.g. Databricks), semantic data standards (OWL, W3C, FAIR principles), ontology development and semantic modeling practices. Cloud and Automation ExpertiseGood experience in using cloud platforms (preferably AWS) for data engineering, along with Python for automation, data federation techniques, and model-driven architecture for scalable solutions. Technical Problem-SolvingExcellent problem-solving skills with hands-on experience in test automation frameworks (pytest), scripting tasks, and handling large, complex datasets. Good-to-Have Skills: Experience in biotech/drug discovery data engineering Experience applying knowledge graphs, taxonomy and ontology concepts in life sciences and chemistry domains Experience with graph databases (Allegrograph, Neo4j, GraphDB, Amazon Neptune) Familiarity with Cypher, GraphQL, or other graph query languages Experience with big data tools (e.g. Databricks) Experience in biomedical or life sciences research data management Soft Skills: Excellent critical-thinking and problem-solving skills Good communication and collaboration skills Demonstrated awareness of how to function in a team setting Demonstrated presentation 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.

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 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 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. Good-to-Have Skills: 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.

What you will do Let’s do this. Let’s change the world. In this vital role you will primarily focus on analyzing scientific requirements from Global Research and translating them into efficient and effective information systems solutions. As a domain expert, the prospective BA collaborate with cross-functional teams to identify data product enhancement opportunities, perform data analysis, troubleshoot issues, and support system implementation and maintenance. Additionally, it will involve development of data product launch and user adoption strategy of Amgen Research Foundational Data Systems. Your expertise in business process analysis and technology will contribute to the successful delivery of IT solutions that drive operational efficiency and meet business objectives. This role requires expertise in biopharma scientific domains as well as informatics solution delivery. Additionally, extensive collaboration with global teams is required to ensure seamless integration and operational excellence. The ideal candidate will have a solid background in the end-to-end software development lifecycle and be a Scaled Agile practitioner, coupled with change management and transformation experience. This role demands the ability to deliver against key organizational central initiatives, foster a collaborative environment, and deliver high-quality results in a matrixed organizational structure. 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. Foster a culture of collaboration, innovation, and continuous improvement. Function as a Scientific Business Analyst, providing domain expertise for Research Data and Analytics within a Scaled Agile Framework (SAFe) product team Serve as Agile team scrum master or project manager as needed Create functional analytics dashboards and fit-for-purposes applications for quantitative research, scientific analysis and business intelligence (Databricks, Spotfire, Tableau, Dash, Streamlit, RShiny) Support a suite of custom internal platforms, commercial off-the-shelf (COTS) software, and systems integrations Translate 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 data operations are scoped into building Research-wide Artificial Intelligence/Machine Learning capabilities Ensure operational excellence, cybersecurity and compliance. What we expect of you Master’s degree and 1 to 3 years of Life Science/Biotechnology/Pharmacology/Information Systems experience OR Bachelor’s degree and 3 to 5 years of Life Science/Biotechnology/Pharmacology/Information Systems experience OR Diploma and 7 to 9 years of Life Science/Biotechnology/Pharmacology/Information Systems experience. Basic Qualifications: 3+ years of experience in implementing and supporting biopharma scientific research data analytics Excellent problem-solving skills and a passion for tackling complex challenges in drug discovery with data Collaborative spirit and effective communication skills to work seamlessly in a multi-functional team An ongoing commitment to learning and staying at the forefront of AI/ML advancements. Familiarity with data analytics and scientific computing platforms such as Databricks, Dash, Streamlit, RShiny, Spotfire, Tableau and related programming languages like SQL, python, R Preferred Qualifications: Demonstrated expertise in a scientific domain area and related technology needs Understanding of semantics and FAIR (Findability, Accessibility Interoperability and Reuse) data concepts Experience with cloud (e.g. AWS) and on-premise compute infrastructure Experience with scientific and technical team collaborations, ensuring seamless coordination across teams and driving the successful delivery of technical projects Experience creating impactful slide decks and communicating data Ability to deliver features meeting research user demands using Agile methodology 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 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 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.

Scientific Business Analyst (Specialist) – 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 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 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 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 4 - 6 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR Bachelor’s degree with 6 - 8years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR Diploma with 10 - 12 years of experience in Computer Science, IT, Computational Chemistry, 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 with Benchling, Revvity, IDBS, or similar LIMS/ELN platforms Preferred Qualifications: 5+ years of experience in designing and supporting biopharma scientific software platforms. Good-to-Have Skills: Experience leading 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) 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 Experience in establishing business partnerships and IS governance practices involving senior business stakeholders Knowledge of business analysis standard processes, 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.

Scientific Business Analyst (Specialist) – Biological Studies (LIMS) 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 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 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 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 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. Basic Qualifications: Master’s degree and 4 to 6 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR Bachelor’s degree and 6 to 8 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR Diploma and 10 to 12 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field 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 such as Benchling, Revvity, IDBS, STARLIMS, Watson, LabVantage, etc. Experience using platforms such as Spotfire, Tableau, Power BI, etc., to build dashboards and reports Preferred Qualifications: 5+ years of experience in designing and supporting biopharma scientific software platforms Experience leading 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-premises infrastructure In-depth knowledge of Agile processes and principles for coordinated solutions and teams via SAFe Experience in establishing business partnerships and IS governance practices involving senior business collaborators Knowledge of business analysis standard methodologies, 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.

[Associate Data Engineer] What you will do Let’s do this. Let’s change the world. In this vital role you will design, build and maintain data lake solutions for scientific data that drive business decisions for Research. You will build scalable and high-performance data engineering solutions for large scientific datasets and collaborate with Research stakeholders. The ideal candidate possesses experience in the pharmaceutical or biotech industry, demonstrates strong technical skills, has experience with big data technologies, and understands data architecture and ETL processes Design, develop, and implement data pipelines, ETL/ELT processes, and data integration solutions Contribute to data pipeline projects from inception to deployment, manage scope, timelines, and risks Contribute to data models for biopharma scientific data, data dictionaries, and other documentation to ensure data accuracy and consistency Optimize large datasets for query performance Collaborate with global cross-functional teams including research scientists to understand data requirements and design solutions that meet business needs Implement data security and privacy measures to protect sensitive data Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions Collaborate with Data Architects, Business SMEs, Software Engineers and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions Identify and resolve data-related challenges Adhere to best practices for coding, testing, and designing reusable code/component Explore new tools and technologies that will help to improve ETL platform performance Participate in sprint planning meetings and provide estimations on technical implementation Maintain documentation of processes, systems, and solutions What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Bachelor’s degree and 0 to 3 years of Computer Science, IT or related field experience OR Diploma and 4 to 7 years of Computer Science, IT or related field experience Preferred Qualifications: 1+ years of experience in implementing and supporting biopharma scientific research data analytics (software platforms) Functional Skills: Must-Have Skills: Proficiency in SQL and Python for data engineering, test automation frameworks (pytest), and scripting tasks Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), workflow orchestration, performance tuning on big data processing Excellent problem-solving skills and the ability to work with large, complex datasets Good-to-Have Skills: A passion for tackling complex challenges in drug discovery with technology and data Strong understanding of data modeling, data warehousing, and data integration concepts Strong experience using RDBMS (e.g. Oracle, MySQL, SQL server, PostgreSQL) Knowledge of cloud data platforms (AWS preferred) Experience with data visualization tools (e.g. Dash, Plotly, Spotfire) Experience with diagramming and collaboration tools such as Miro, Lucidchart or similar tools for process mapping and brainstorming Experience writing and maintaining technical documentation in Confluence Professional Certifications: Databricks Certified Data Engineer Professional preferred Soft Skills: Excellent critical-thinking and problem-solving skills Strong communication and collaboration skills Demonstrated awareness of how to function in a team setting Demonstrated presentation 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.

To carry out routine Lab activities. To carry out assigned Lab experiments. To prepare documents as per requirements. Good knowledge of biological science. Good skills of MS Office for documents preparations.

Position Summary: As an Analytical Sciences Product Manager, you will play a pivotal role in developing, managing, and optimizing a portfolio of products and services in the field of Analytical and QC applications in Biotechnology. The key focus will be on Dynamic light scattering, Nano Particle Analysis, Raman and Fluorescence Spectroscopy. You will be responsible for understanding the needs of the Biopharmaceutical, academic and clinical divisions defining product strategies, and driving the development and launch of innovative solutions to address those needs. Key Responsibilities: - Market Research and Analysis: Conduct comprehensive market research to identify industry trends, customer needs, and competitive landscapes in Analytical and QC divisions with regards to Dynamic Light Scattering, Nano Particle Analysis, Raman and Fluorescence spectroscopy. Analyze and interpret trends in biopharma QC to identify emerging opportunities. Product Knowledge and Strategy: Previous experience in Dynamic Light scattering, nano particle analysis, Raman and Fluorescence spectroscopy is crucial. Develop a clear and data-driven product strategy that aligns with the company's goals and market demands. Define product roadmaps, feature sets, and pricing strategies. Product Launch and Promotion: Plan and execute successful product launches, including creating marketing and sales strategies. Develop product messaging and collateral to effectively communicate the value of our analytical solutions to Biotechnology customers. Customer Engagement: Build strong relationships with customers, industry experts, and stakeholders to understand their needs and gather feedback for product improvements. Address customer inquiries, issues, and concerns promptly. Performance Monitoring: Define key performance indicators (KPIs) and regularly track the success and adoption of our analytical products. Use data-driven insights to make informed decisions and iterate on product offerings. Regulatory Compliance: Stay informed about relevant regulations and ensure products comply with industry standards and legal requirements. Team Collaboration: Collaborate with various teams, including sales, marketing, and customer support, to drive product success. Lead and mentor cross-functional teams as needed. Qualifications: M.Sc./PhD degree with strong focus on biophysical and analytical techniques- biophysics, structural biology, nano sciences, analytical sciences etc. Proven experience in product management, preferably in Dynamic Light scattering, nano particle analysis, Raman and Fluorescence spectroscopy. Knowledge and experience of working in biopharmaceutical industry, trends and applications. Strong analytical and problem-solving skills. Excellent communication and presentation abilities. Familiarity with analytical technologies and trends. Demonstrated ability to lead cross-functional teams and manage product lifecycles.