Role Description: We are looking for highly motivated expert Data Engineer who can own the design & development of complex data pipelines, solutions and frameworks, with deep domain knowledge of End-to-End (E2E) Regulatory Integrated Product Teams (IPTs) within the biotech or pharmaceutical industry in biotech or life sciences or pharma. The ideal candidate will be responsible to design, develop, and optimize data pipelines, data integration frameworks, and metadata-driven architectures that enable seamless data access and analytics The ideal candidate brings a strong foundation in data engineering, combined with an understanding of regulatory processes, scientific data requirements, and structured submission formats such as eCTD, IDMP, xEVMPD, and SPL. Roles & Responsibilities: Design, develop, and manage ETL/ELT pipelines to ingest, transform, and deliver regulatory data from diverse source systems. Collaborate with the Regulatory IPT to understand data requirements for global health authority submissions and ensure data readiness. Build and maintain regulatory data models and structured datasets aligned with submission standards (e.g., eCTD structure, IDMP specifications). Enable seamless data integration across regulatory, clinical, and quality platforms, ensuring consistency and traceability. Implement and maintain data validation and quality checks to ensure accuracy, integrity, and compliance of submission data. Support data lineage, metadata tagging, and audit trail capabilities to meet GxP and regulatory requirements. Proactively identify and implement opportunities to automate tasks and develop reusable frameworks Work in an Agile and Scaled Agile (SAFe) environment, collaborating with cross-functional teams, product owners, and Scrum Masters to deliver incremental value Use JIRA, Confluence, and Agile DevOps tools to manage sprints, backlogs, and user stories. Support continuous improvement, test automation, and DevOps practices in the data engineering lifecycle Collaborate and communicate effectively with the product teams, with cross-functional teams to understand business requirements and translate them into technical solutions Must-Have Skills: Deep domain knowledge of Manufacturing and/or Process Development and/or Supply Chain in biotech or life sciences or pharma. Hands-on experience in data engineering technologies such as Databricks, PySpark, SparkSQL Apache Spark, AWS, Python, SQL, and Scaled Agile methodologies. Proficiency in workflow orchestration, performance tuning on big data processing. Strong understanding of AWS services Ability to quickly learn, adapt and apply new technologies Familiarity with tools such as Veeva Vault RIM, Argus, ArisGlobal, or other regulatory information systems. Experience with metadata management, data lineage tools, and data quality frameworks. Strong problem-solving and analytical skills Excellent communication and teamwork skills Experience with Scaled Agile Framework (SAFe), Agile delivery practices, and DevOps practices. Good-to-Have Skills: Data Engineering experience in Biotechnology or pharma industry Experience in writing APIs to make the data available to the consumers Experienced with SQL/NOSQL database, vector database for large language models Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and Dev Ops Education and Professional Certifications Bachelors degree and 4 to 8 years of Computer Science, IT or related field experience OR Masters degree and 1 to 4 years of Computer Science, IT or related field experience AWS Certified Data Engineer preferred Databricks Certificate preferred Scaled Agile SAFe certification preferred Soft Skills: Excellent analytical and troubleshooting 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. Ability to learn quickly, be organized and detail oriented. Strong presentation and public speaking skills.

What you will do In this vital role you will be responsible for designing, developing, and maintaining software applications and solutions that meet business needs and ensuring the availability and performance of critical systems and applications. In this vital role, you will be responsible for designing, developing, and maintaining software applications and solutions in Amgens R&D Veeva Vault Platform team that meet business needs and ensure the availability and performance of critical systems and applications. This role involves working closely with product managers, designers, and other engineers supporting various Veeva Vault products within Amgens R&D business function, to create high-quality, scalable software solutions and automate operations, monitor system health, and respond to incidents to minimize downtime. Roles & Responsibilities: 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. Provide technical guidance and mentorship to junior developers. Contribute to both front-end and back-end development using cloud technologies. Develop innovative solution using generative AI technologies. Conduct code reviews to ensure code quality and consistency to standard processes. Create and maintain documentation on software architecture, design, deployment, disaster recovery, and operations. Stay updated with the latest trends and advancements. Work closely with product teams, business teams, and other partners. Design, develop, implement, and maintain Veeva Vault applications, including configurations, 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 complete unit tests, integration tests, and other testing strategies to ensure the quality of the software. Work on integrating Veeva Vault applications 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. Design and implement systems and processes to improve the reliability, scalability, and performance of applications. Develop and maintain monitoring tools and dashboards to track system health, performance, and availability. Respond to and resolve incidents promptly, conducting root cause analysis and implementing preventive measures. Implement and maintain security measures to protect systems from unauthorized access and other threats. Basic Qualifications: Doctorate degree OR Masters degree and 4 to 6 years of Computer Science, IT or related field experience OR Bachelors degree and 6 to 8 years of Computer Science, IT or related field experience OR Diploma and 10 to 12 years of Computer Science, IT or related field experience Preferred Qualifications: Functional Skills: Must-Have Skills: Experince working with Veeva Clinical Platform Experience with Veeva Vault Platform and Products, including Veeva configuration settings and custom builds. Strong knowledge of information systems and technologies. 6-8 years of experience working in global pharmaceutical Industry Solid understanding of software development methodologies, including Agile and Scrum. Experience with version control systems like Git. Experience with software DevOps CI/CD tools, such as Git, Jira, and etc. Experience working in an agile environment (i.e., user stories, iterative development, etc.). Good-to-Have Skills: Experience with API integrations such as MuleSoft. Good understanding of cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes). Proficiency in programming languages such as Python, JavaScript or other programming languages. Professional Certifications: Veeva Vault Platform Administrator (mandatory). Veeva Vault Platform Administrator (mandatory) Scaled Agile Framework (SAFe) for Teams (preferred) Scaled Agile Framework (SAFe) DevOps Practitioner (preferred) ITIL (preferred) Soft Skills: Excellent analytical and troubleshooting 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 Shift Information: This position requires you to work a later shift and may be assigned a second or third shift schedule. Candidates must be willing and able to work during evening or night shifts, as required based on business requirements.

TheMaster Data Analystat Amgen will support the accuracy and consistency of master data(Material, Production, Quality, Customer,Transportationand/or Plant)across the organization. This role will manage data validation, cleansing, and enrichment while collaborating with teams to resolve issues and ensure data integrity. The analyst will support key performance monitoring, data governance, and compliance efforts, as well as assist in data migration and integration projects. Candidates should have experiencein enterprise applications likeSAP or Oracle, familiarity with data governance frameworks and compliance standards, and strong analytical skills. Roles & Responsibilities: Perform data operations tasks, mainly maintenance, and validation, to ensure the accuracy and integrity of master data Support process optimization initiatives to improve data management workflows and enhance efficiency Conduct data analysis to identify trends, discrepancies, and opportunities for improvement Provide training and support to partners, customers, and end-users on master data processes, tools, and best practices. Maintain data quality reports to monitor performance metrics and ensure data compliance. Collaborate cross-functionally with business, IT, and operations teams to resolve data-related issues and ensure alignment with organizational goals. Basic Qualifications and Experience: Bachelors degree in a STEM discipline and 2-3 years of experience in SAP ECC, master data management, data governance, or data operations, preferably in the healthcare or biotech supply chains Technical Proficiency : Experience in SAP/Oracle, Microsoft Office (Excel, PowerPoint), and other data management tools (e.g., Informatica, Oracle MDM). Analytical Skills : Strong ability to analyze large datasets and deliver actionable insights. Problem Solving : Skilled at identifying root causes of data issues and implementing effective solutions. Attention to Detail : High accuracy and attention to detail, with a strong focus on data quality. Communication : Excellent written and verbal communication skills, with the ability to present findings to both technical and non-technical stakeholders. Functional Skills: Must-Have Skills: Working knowledge of SAP/Oracle Understanding of master data management processes, frameworks, and governance. Proficiency in Excel and MS Office Suite, with experience in data analysis Basic understanding of data governance frameworks and ensuring data accuracy and quality. Strong communication skills for presenting data insights to both technical and non-technical audiences. Good-to-Have Skills: SAP S/4, SAP MDG, SAP TM Professional Certifications(please mention if the certification is preferred or mandatory for the role): Soft Skills: Good analytical and troubleshooting skills. Strong verbal and written communication skills. Ability to work effectively with global, virtual teams. High degree of initiative and self-motivation, centered around data perfection Team-oriented, with a focus on achieving team goals.

Role Description: As the Financial Planning & Analysis (FP&A) Senior Associate at Amgen India, you will be responsible in handling budgeting, forecasting, cost management and reporting for their respective areas. Ad hoc decision support and business metric tracking for the Amgen India site are also key responsibilities. The FP&A Associate will ensure compliance with regulatory standards and adherence to internal policies and controls. This individual will collaborate with cross-functional teams, and support business objectives. This role reports directly to the FP&A Manager. Roles & Responsibilities: Supports the Finance and FP&A team in: Timely production of expense budgets/forecasts in coordination with local and global stakeholders Facilitating business planning and decision making; providing financial analysis Providing financial insights and variance analysis Handling FP&A projects locally and may participate in wider projects Responsible for supporting the Amgen India continuous improvement agenda Own the close process for sites to include ensuring that expenses as of the end of each quarter are complete and accurate Contributes to a learning environment and enhances learning methodologies and technical tools where applicable. Provides decision support to various stakeholders (BUs, project teams, functions) Responsible for monitoring Amgen India FP&A service levels and satisfaction to ensure that outputs meet the agreed expectations Collaborate with cross-functional teams and Centers of Excellence globally to drive financial performance and operational efficiency. Savings / value realization tracking of operational efficiency initiatives Contributes to advancement of leading Finance technology solutions and partners with global teams to adopt and implement best processes/practices Functional Skills: Must-Have Skills: Experience in Anaplan is must (For planning and Forecasting) Knowledge of financial management and accounting principles. Proficiency in financial planning, analysis, and reporting. Strong understanding of compliance and regulatory requirements. Experience with ERP systems and financial software. Experience in budgeting, forecasting, and strategic planning. Resourceful who can connect the dots across matrixed organization Good-to-Have Skills: Familiarity with the pharmaceutical industry. Experience with global finance operations. Knowledge of advanced financial modeling techniques. Proficiency in data analytics and business intelligence tools. Business performance management Finance transformation experience involving recent technology advancements Prior multinational capability center experience Experience with Oracles Hyperion/EPM, SAP, Anaplan, Tableau/PowerBI Soft Skills: Excellent leadership and team management abilities. Strong communication and interpersonal skills. High level of integrity and ethical standards. Problem-solving and critical thinking capabilities. Ability to influence and drive change. Adaptability to a dynamic and fast-paced environment. Strong organizational and time management skills. Educational Qualifications: Basic Qualifications: Bachelor's degree and 5 years of Finance experience Preferred Qualifications: Advanced degree Certified public accountant or experience working in accounting Managerial and financial experience in a pharmaceutical and/or biotechnology manufacturing environment Experience supporting senior leaders of an organization as an FP&A business partner or in some other advisory capacity Experience in preparing executive communication to include written and oral presentations

The Master Data Analyst Amgen will support the accuracy and consistency of master data(Material, Production, Quality, Customer,Transportationand/or Plant)across the organization. This role will manage data validation, cleansing, and enrichment while collaborating with teams to resolve issues and ensure data integrity. The analyst will support key performance monitoring, data governance, and compliance efforts, as well as assist in data migration and integration projects. Candidates should have experiencein enterprise applications likeSAP or Oracle, familiarity with data governance frameworks and compliance standards, and strong analytical skills. Roles & Responsibilities: Perform data operations tasks, mainly maintenance, and validation, to ensure the accuracy and integrity of master data Support process optimization initiatives to improve data management workflows and enhance efficiency Conduct data analysis to identify trends, discrepancies, and opportunities for improvement Provide training and support to partners, customers, and end-users on master data processes, tools, and best practices. Maintain data quality reports to monitor performance metrics and ensure data compliance. Collaborate cross-functionally with business, IT, and operations teams to resolve data-related issues and ensure alignment with organizational goals. Basic Qualifications and Experience: Bachelors degree in a STEM discipline and 2-3 years of experience in SAP ECC, master data management, data governance, or data operations, preferably in the healthcare or biotech supply chains Technical Proficiency : Experience in SAP/Oracle, Microsoft Office (Excel, PowerPoint), and other data management tools (e.g., Informatica, Oracle MDM). Analytical Skills : Strong ability to analyze large datasets and deliver actionable insights. Problem Solving : Skilled at identifying root causes of data issues and implementing effective solutions. Attention to Detail : High accuracy and attention to detail, with a strong focus on data quality. Communication : Excellent written and verbal communication skills, with the ability to present findings to both technical and non-technical stakeholders. Functional Skills: Must-Have Skills: Working knowledge of SAP/Oracle Understanding of master data management processes, frameworks, and governance. Proficiency in Excel and MS Office Suite, with experience in data analysis Basic understanding of data governance frameworks and ensuring data accuracy and quality. Strong communication skills for presenting data insights to both technical and non-technical audiences. Good-to-Have Skills: SAP S/4, SAP MDG, SAP TM Professional Certifications(please mention if the certification is preferred or mandatory for the role): Soft Skills: Good analytical and troubleshooting skills. Strong verbal and written communication skills. Ability to work effectively with global, virtual teams. High degree of initiative and self-motivation, centered around data perfection Team-oriented, with a focus on achieving team goals.

The Manager, CSAR - SAS Edit Check Programmer will report to the Sr. Manager, Clinical System and Analytical Reporting and will focus on supporting SAS Edit check programming activities. This role involves creating and implementing edit checks, adhering to Amgen standards, procedures, and best practices using SAS programming . The position is expected to partner effectively with other CSAR Operations and cross-functional staff to seamlessly ensure high-quality deliverables, internal and external clinical systems, and other CSAR activities related to the use of electronic data capture technology. The position will be responsible for quality and deliverables at the study and portfolio level. The Manager, CSAR - SAS Edit Check Programmer will also be expected to help deliver large system transformation projects, with a focus on project management , contribution of subject matter expertise, stakeholder engagement, and change management. The successful candidate will be a strong leader with demonstrated ability to influence stakeholders, while also acting as an individual contributor on study-specific and general CSAR/Global Development Operations projects or operational work. Proven capability of providing support for study deliverables. Has operational experience with clinical database management systems and allied technologies (e.g., Rave EDC, Veeva EDC). Responsibilities include, but are not limited to, the following: Support of clinical trial platform technologies. Support decision-making by acting as a data scientist bringing awareness to patterns and analytical insight. Coordinating and providing programming support to Clinical Study Teams. Works collaboratively with Clinical Data Management to meet study deliverables and timelines. Acting as a technical point of contact for systems deliverables on defined programs. Experience in creating/programming complex SAS edit checks according to specifications, testing them for functionality, and identifying potential issues before implementation. Providing technical and business process input/expertise on new and emerging technologies. Develop, review, and implement policies, SOPs, and associated documents. Assist in preparing for and responding to audit findings (internal or external). Knowledge: Good Clinical Practice . Strong understanding and experience in the use of performance management techniques, measures, problem-solving, and analytical thinking. Drug development and clinical trials processes. Data management processes. Programming of clinical trial databases and applications. Proficient in SAS edit check programming . Systems development lifecycle. Programming Languages. Project planning and management. Collaborating with global cross-functional teams (team/matrix environment). Quality management and Risk Analysis. Regulatory filings and inspections. Process improvement methodologies. Basic Qualifications: Bachelor's degree or equivalent in life science, computer science, business administration, or a related discipline with 9-13 years of experience. Proven experience in managing teams. Specialist knowledge/experience in life sciences or a medically related field. General biopharmaceutical clinical research experience (clinical research experience obtained working on clinical trials at a biotech, pharmaceutical, or CRO company). Preferred Qualifications: Advanced degree or equivalent in life science, computer science, math, statistics, business administration, or a related discipline with 9-13 years of experience. Broad knowledge/work experience in data management/programming in the Pharmaceutical or Biotech arena. Proven experience in managing teams. General project management and planning experience. Experience in oversight of outside vendors (CRO's, central labs, imaging vendors, IRT vendors, etc.).

HR Staff Services is connecting staff, managers and local HR teams to Amgen's global HR programs and tools. For all global HR questions, we are the place to go to! You will be responsible for providing global HR service center support. Accountabilities: Ensure that inquiries are managed and customers are serviced according to service level agreements and local & global policies & procedures. Act as a dedicated point of contact for our customers (staff, managers and local HR). Ensure that HR transactions are processed according to global processes and compliance. Act as designated subject matter expert on one or more of our expertise areas and be responsible for supporting to maintain our Knowledge base. Responsibilities: Provide excellent tier 1 customer experience to our stakeholders in accordance with Service Level Agreements on the initiation of HR transactions. Log and manage cases, escalations and triaging to tier 2/3 using the ServiceNow case management system. Represent HR Connect to all staff and provide, based on needs and requirements, training, presentations to staff/manager and HR. Provides support and answers to staff and managers on Global HR self service tools, HR processes, HR systems, and HR policies. Develop and maintain the knowledge database in close collaboration with the knowledge management team. Identify improvements and optimizations in Tier 0 knowledge articles. Be able to troubleshoot in more complex system inquiries and identify solutions. Support managers and HR on workday transactions, data audits and UAT support. Maintaining data confidentiality and governance. Create and run reports in Workday and Servicenow Suggest improvements on policies and procedures between service center sites and HR teams Represent HR Connect in HR (global, regional, local) Projects and system & process improvements linked to Workday, BRAVO!, MAP (performance cycle) etc. Building strong stakeholder relationships, collaborate and share best practices across Coe's and HR teams. Skills And Experience: 4 to 6 years experience in Tier 1 HR operations, case management and Workday data administration. Strong English verbal and written communication skills that are clear and concise Keen attention to detail and ability to accurately process transactions and data.

Role Description: We are looking for highly motivated expert Data Engineer who can own the design & development of complex data pipelines, solutions and frameworks. The ideal candidate will be responsible to design, develop, and optimize data pipelines, data integration frameworks, and metadata-driven architectures that enable seamless data access and analytics. This role prefers deep expertise in big data processing, distributed computing, data modeling, and governance frameworks to support self-service analytics, AI-driven insights, and enterprise-wide data management. Roles & Responsibilities: Design, develop, and maintain complex ETL/ELT data pipelines in Databricks using PySpark, Scala, and SQL to process large-scale datasets Understand the biotech/pharma or related domains & build highly efficient data pipelines to migrate and deploy complex data across systems Design and Implement solutions to enable unified data access, governance, and interoperability across hybrid cloud environments Ingest and transform structured and unstructured data from databases (PostgreSQL, MySQL, SQL Server, MongoDB etc.), APIs, logs, event streams, images, pdf, and third-party platforms Ensuring data integrity, accuracy, and consistency through rigorous quality checks and monitoring Expert in data quality, data validation and verification frameworks Innovate, explore and implement new tools and technologies to enhance efficient data processing Proactively identify and implement opportunities to automate tasks and develop reusable frameworks Work in an Agile and Scaled Agile (SAFe) environment, collaborating with cross-functional teams, product owners, and Scrum Masters to deliver incremental value Use JIRA, Confluence, and Agile DevOps tools to manage sprints, backlogs, and user stories. Support continuous improvement, test automation, and DevOps practices in the data engineering lifecycle Collaborate and communicate effectively with the product teams, with cross-functional teams to understand business requirements and translate them into technical solutions Must-Have Skills: Hands-on experience in data engineering technologies such as Databricks, PySpark, SparkSQL Apache Spark, AWS, Python, SQL, and Scaled Agile methodologies. Proficiency in workflow orchestration, performance tuning on big data processing. Strong understanding of AWS services Ability to quickly learn, adapt and apply new technologies Strong problem-solving and analytical skills Excellent communication and teamwork skills Experience with Scaled Agile Framework (SAFe), Agile delivery practices, and DevOps practices. Good-to-Have Skills: Data Engineering experience in Biotechnology or pharma industry Experience in writing APIs to make the data available to the consumers Experienced with SQL/NOSQL database, vector database for large language models Experienced with data modeling and performance tuning for both OLAP and OLTP databases Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and Dev Ops Education and Professional Certifications Masters degree and 3 to 4 + years of Computer Science, IT or related field experience OR Bachelors degree and 5 to 8 + years of Computer Science, IT or related field experience AWS Certified Data Engineer preferred Databricks Certificate preferred Scaled Agile SAFe certification preferred Soft Skills: Excellent analytical and troubleshooting 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. Ability to learn quickly, be organized and detail oriented. Strong presentation and public speaking skills.

We are seeking a highly motivated and experienced Senior Data Scientist with a strong background in Generative AI, Large Language Models (LLMs), and MLOps, along with an understanding for Quality in regulated environments (e.g., GxP). This role will play a key part in designing, developing, and deploying scalable AI/ML solutions to drive innovation, efficiency, and regulatory compliance across the organization. You will collaborate with cross-functional teams, including software engineers, data engineers, business stakeholders, and quality professionals to deliver AI-driven capabilities that support strategic business objectives. The ideal candidate is an an analytical thinker with excellent technical depth, communication skills, and the ability to thrive in a fast-paced, agile environment. Key Responsibilities: Design, build, and deploy generative AI and LLM-based applications using frameworks such as LangChain, LlamaIndex, and others. Engineer reusable and effective prompts for LLMs like OpenAI GPT-4, Anthropic Claude, etc. Develop and maintain evaluation metrics and frameworks for prompt engineering. Collaborate with business stakeholders to identify AI/ML opportunities, ensuring alignment between technical solutions and business goals. Lead the development of MLOps pipelines for model deployment, monitoring, and lifecycle management. Conduct data quality assessments, data cleansing, and ingestion of unstructured documents into vector databases. Build retrieval algorithms for relevant data identification to support LLMs and AI applications. Ensure AI/ML development complies with GxP and other regulatory standards, fostering a strong Quality culture. Partner with global and local teams to support regulatory inspection readiness and future technological capabilities in AI. Share insights and findings with team members in an Agile (SAFe) environment. Basic Qualifications: Doctorate degree OR Master's degree and 46 years of experience in Software Engineering, Data Science, or ML Engineering OR Bachelor's degree and 68 years of experience OR Diploma and 1012 years of experience Preferred Qualifications: Proven experience developing and deploying LLM applications. Strong foundation in ML algorithms, data science workflows, and NLP. Expertise in Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Familiarity with MLOps tools (e.g., MLflow, CI/CD, version control). Experience with cloud platforms (AWS, Azure, GCP) and tools like Spark, Databricks. Understanding of RESTful APIs and frameworks like FastAPI. Experience with BI and visualization tools (e.g., Tableau, Streamlit, Dash). Knowledge of GxP compliance and experience working in regulated environments. Domain experience in healthcare, biotech, or life sciences is a plus. Strong communication skills with the ability to explain complex topics to diverse audiences. High degree of initiative, self-motivation, and ability to work in global teams.

This role involves working closely with the Product Owner, Business Analysts, and Developers to ensure that technical requirements for upcoming development are thoroughly elaborated and tested. This enables the delivery team to estimate, plan, and commit to delivery with high confidence, and to identify test cases and scenarios to ensure the quality and performance of IT Systems. This role will collaborate with the Product Owner and developers to maintain an efficient and consistent testing process, ensuring quality deliverables from the team. Roles & Responsibilities: Work with Product Owners and customers to define testing scope and approach. Validate that test scenarios meet feature acceptance criteria and customer expectations. Design, develop, and implement test plans to ensure all business requirements are met with required quality and consistency. Write and implement test cases in HP ALM (or equivalent tool), ensuring full coverage of functionalities. Perform SQL queries and scripting to verify accuracy across multiple environments. Identify, report, and track database defects and inconsistencies. Work closely with developers and business analysts to understand and test requirements. 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 Functional Skills: Must-Have Skills: Experience in creating and implementing validation protocols (e.g., Installation Qualification (IQ), Operational Qualification (OQ)). Experience with testing and validation tools, and testing frameworks. Experience in test case authoring and execution using Veeva VVM, HP ALM (or similar tools). Experience with Agile software development methodologies (Scrum). Good-to-Have Skills: Familiarity with GxP, CFR 21 Part 11 and systems validation. Experience in database testing, ETL testing, or related fields. Strong expertise in SQL and hands-on experience with relational databases (Oracle, SQL Server, MySQL, PostgreSQL, etc.). Experience as a business analyst, with command of business analysis techniques & tools, as well as SDLC & iterative systems development methodologies. Testing experience on Veeva Clinical Operations suite of applications. Professional Certifications: SAFe for Teams certification (preferred). Certified Business Analysis Professional (CBAP) (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.

In this vital role, you will be responsible for designing, developing, deploying complex software applications, and mentoring junior developers. You will work closely with cross-functional teams to deliver high-quality, scalable, and maintainable solutions. Roles and Responsibilities: Full Stack Developer responsible for developing and designing front-end/back-end applications. Keeps abreast of current technology trends and is familiar with application development best practices. Demonstrate strong initiative and ability to work with minimal supervision or direction. Experience with distributed, multi-tiered systems, algorithms, and relational databases. Possesses strong rapid prototyping skills and can quickly translate concepts into working code. Develop and execute unit tests, integration tests, and other testing strategies to ensure the quality of the software. Analyze and understand the functional and technical requirements of applications. 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. Informing various stakeholders about any problems with the current technical solutions being implemented. Take ownership and accountability of the deliverables. Basic Qualifications: Bachelor's degree and 0 to 3 years of Computer Science and Engineering experience OR Diploma and 4 to 7 years of Computer Science and Engineering experience Preferred Qualifications: Experience in UI/UX, React/Redux/Typescript/JavaScript. Experienced with API integration, serverless, microservices architecture. Experienced with Fast Python API. Experience with Unit Testing, Building, and Debugging the Code. Experienced with AWS/Azure Platform, Building, and deploying the code. Experience in Postgres SQL/Mongo DB SQL database, vector database for large language models, Databricks or RDS. Experience with Website development, understanding of website localization process. Experience with DevOps CICD build and deployment pipeline. Experience in Agile software development methodologies. Experience in API and End-to-End testing. Hands-on experience with Full Stack software development. Proficient in programming language React Framework Redux, RESTful API Development, Swagger/OpenAPI, TypeScript, Fast Python, JavaScript, SQL/NoSQL, Databricks/RDS, Data engineering. Strong problem-solving, analytical skills; Ability to learn quickly; Excellent communication and interpersonal skills. Good to Have Skills: Willingness to work on AI Applications. Experience with popular large language models. Experience with Langchain or Llama Index framework for language models. Experience with prompt engineering, model fine-tuning. Knowledge of NLP techniques for text analysis and sentiment analysis. Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills. Ability to work optimally with global teams. High degree of initiative and self-motivation. Team-oriented, with a focus on achieving team goals. Strong presentation and public speaking skills.

Role Description: We are looking for highly motivated expert Data Engineer who can own the design & development of complex data pipelines, solutions and frameworks, with deep domain knowledge of Manufacturing and/or Process Development and/or Supply Chain in biotech or life sciences or pharma. The ideal candidate will be responsible to design, develop, and optimize data pipelines, data integration frameworks, and metadata-driven architectures that enable seamless data access and analytics. This role prefers deep expertise in big data processing, distributed computing, data modeling, and governance frameworks to support self-service analytics, AI-driven insights, and enterprise-wide data management. Roles & Responsibilities: Design, develop, and maintain complex ETL/ELT data pipelines in Databricks using PySpark, Scala, and SQL to process large-scale datasets Understand the biotech/pharma or related domains & build highly efficient data pipelines to migrate and deploy complex data across systems Design and Implement solutions to enable unified data access, governance, and interoperability across hybrid cloud environments Ingest and transform structured and unstructured data from databases (PostgreSQL, MySQL, SQL Server, MongoDB etc.), APIs, logs, event streams, images, pdf, and third-party platforms Ensuring data integrity, accuracy, and consistency through rigorous quality checks and monitoring Expert in data quality, data validation and verification frameworks Innovate, explore and implement new tools and technologies to enhance efficient data processing Proactively identify and implement opportunities to automate tasks and develop reusable frameworks Work in an Agile and Scaled Agile (SAFe) environment, collaborating with cross-functional teams, product owners, and Scrum Masters to deliver incremental value Use JIRA, Confluence, and Agile DevOps tools to manage sprints, backlogs, and user stories. Support continuous improvement, test automation, and DevOps practices in the data engineering lifecycle Collaborate and communicate effectively with the product teams, with cross-functional teams to understand business requirements and translate them into technical solutions Must-Have Skills: Deep domain knowledge of Manufacturing and/or Process Development and/or Supply Chain in biotech or life sciences or pharma. Hands-on experience in data engineering technologies such as Databricks, PySpark, SparkSQL Apache Spark, AWS, Python, SQL, and Scaled Agile methodologies. Proficiency in workflow orchestration, performance tuning on big data processing. Strong understanding of AWS services Ability to quickly learn, adapt and apply new technologies Strong problem-solving and analytical skills Excellent communication and teamwork skills Experience with Scaled Agile Framework (SAFe), Agile delivery practices, and DevOps practices. Good-to-Have Skills: Data Engineering experience in Biotechnology or pharma industry Experience in writing APIs to make the data available to the consumers Experienced with SQL/NOSQL database, vector database for large language models Experienced with data modeling and performance tuning for both OLAP and OLTP databases Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and DevOps Education and Professional Certifications Masters degree and 3 to 4 + years of Computer Science, IT or related field experience OR Bachelors degree and 5 to 8 + years of Computer Science, IT or related field experience AWS Certified Data Engineer preferred Databricks Certificate preferred Scaled Agile SAFe certification preferred Soft Skills: Excellent analytical and troubleshooting 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. Ability to learn quickly, be organized and detail oriented. Strong presentation and public speaking skills.

We are looking for a talented individual to join us as a Study Designer and Edit Check Programmer, reporting directly to the Sr. Manager, Clinical Systems and Analytical Reporting. The successful candidate will play a crucial role in adhering to Amgen standards, procedures, and best practices to build and program studies in our clinical trial database. This position will require effective partnership with other CSAR Operations and cross-functional staff to ensure seamless, high-quality deliverables and activities related to the use of electronic data capture technology. We are seeking a strong leader who can confidently influence stakeholders and contribute individually to study-specific and general CSAR/GDO projects or operational work. The ideal candidate will have proven experience in partnering effectively with cross-functional teams to deliver systems support and study deliverables. Additionally, they should have operational experience with clinical database management systems and allied technologies (e.g., Rave EDC, Veeva EDC). Responsibilities include, but are not limited to, the following: Support of clinical trial platform technologies. Support decision-making by acting as a data scientist bringing awareness to patterns and analytical insight. Coordinating and providing programming support to Clinical Study Teams. Ensure efficient and consistent use of EDC system and ensure the use is complied with the established procedures or standards. Acting as a technical point of contact for systems deliverables on defined programs. Identify, recommend or implement system enhancements, new tools or emerging technologies to decrease database development cycle times and foster a collaborative working environment. Providing technical and business process input / expertise on new and emerging technologies. Develop, review and implement policies, SOPs and associated documents. Ensure documentation supports CSAR operational or technical activities is in a complete manner and consistent with regulatory and the established processes. Assist in preparing for and responding to audit findings (internal or external). Knowledge: Good Clinical Practice. Strong understanding and experience in the use of performance management techniques, measures, problem-solving, and analytical thinking. Drug development and clinical trials processes. Data management processes. Clinical trial databases and applications. Edit check development and Custom function programming. Programming Languages. Systems development lifecycle. Project planning and management. Collaborating with global cross-functional teams (team/matrix environment). Quality management and Risk Analysis. Regulatory filings and inspections. Process improvement methodologies. Basic Qualifications: Bachelor's degree or equivalent in life science, computer science, business administration, or a related discipline with 9 to 13 years of experience. Specialist knowledge / experience in life sciences or a medically related field. General biopharmaceutical clinical research experience (clinical research experience obtained working on clinical trials at a biotech, pharmaceutical or CRO company). Preferred Qualifications: Advanced degree or equivalent in life science, computer science, math, statistics, business administration or related discipline. Broad knowledge / work experience in data management / programming in the Pharmaceutical or Biotech arena. General project management and planning experience. Experience in oversight of outside vendors (CROs, central labs, imaging vendors, IRT vendors, etc.).

What you will do In this vital role you will be responsible for managing the R&D Veeva Vault Platform technical team that develops and implements technology strategies, solutions, and services to support Amgens Veeva Vault Platform. The role will direct the Agile Platform Technical team, consisting of software engineers, solution architects, system configurators, etc. to build shared platform components and their lifecycle management. The ideal candidate will have a consistent track record of leadership in technology-driven environments, managing technology platforms, digital transformation initiatives, and have a passion for fostering innovation and excellence in the biotechnology industry. Additionally, collaboration with cross-functional and global teams is required to ensure seamless integration and operational excellence. This role demands the ability to drive and deliver against key organizational pivotal initiatives, foster a collaborative environment, and deliver high-quality results in a matrixed organizational structure. Roles & Responsibilities: Manage and be responsible for the identified Agile Product Team Be responsible for orchestrating product governance via PI planning, aligned to short- and long-term business and technology strategy needs Drive the implementation of a robust DevOps pipeline for the product using Amgens CI/CD frameworks and tools Drive a Product First attitude among the team and peers with a goal towards global expansion of the products capabilities Drive an attitude of excellence in running robust, reliable, and secure software products following Amgens software development, operating procedures, and organizational change requirements Unblock and drive engagement to improve results delivery for the team and the organization Foster a culture of collaboration, innovation, and continuous improvement. Attract and recruit top talent as part of an extensive Technology organization to be hired within India Develop talent, motivate the team, delegate effectively, champion diversity within the team and act as a role model of servant leadership. Improve activities being measured by crafting, monitoring, and optimizing relevant feedback loops through test & learn activities Facilitate standard methodology sharing, ensuring ongoing alignment with the Technology & Digital strategy Remain accountable for ensuring overall organizational compliance to quality/compliance requirements such as GXP and Privacy Establish Product/Platform Efficiency through coordinated impact assessment of Veeva changes and being accountable for deployment and adoption of platform features Basic Qualifications: Doctorate degree and 2 years of Business, Engineering, IT or related field experience OR Masters degree and 8 to 10 years of Business, Engineering, IT or related field experience OR Bachelors degree and 10 to 14 years of Business, Engineering, IT or related field experience OR Diploma and 14 to 18 years of Engineering, IT or related field experience Preferred Qualifications: Functional Skills: Must-Have Skills: Good knowledge of different Pharma business processes and Global regulations. Significant technical experience developing & architecting technology solutions, managing complex IS programs/projects, and driving multi-functional technology introduction and innovation in the life sciences industry 8 to 10 years of experience as a technical platform or technical product manager for Veeva Platforms and/or Products Good Experience with GxP Validation processes Experienced in managing a large team of 15+ members Experience with system integration and IT infrastructure Have strong eye for business. Can demonstrate a deep understanding of pharma industry regulations, therapy, and product Demonstrated experience in managing technology initiatives and teams with a track record of successful innovation and fostering the development of talent. Exceptional collaboration, communication, must be flexible and able to manage multiple activities and priorities with minimal direction in a rapidly changing and demanding environment. Experience in applying technology standard process methodologies: Scaled Agile (SAFe), ITIL, etc. Good-to-Have Skills: Experience as a technical platform or a product manager Experience in a leadership role within a pharmaceutical or technology organization Extensive experience in the software development lifecycle of GxP Systems. Experience using and adoption of Scaled Agile Framework (SAFe) Strong analytic/critical-thinking and decision-making abilities. Ability to work effectively in a fast-paced, dynamic environment. Established business partnerships and IS governance practices involving senior business partners Broad working knowledge of key IS domains and layers Professional Certifications (please mention if the certification is preferred or mandatory for the role): Veeva Vault Platform Administrator (mandatory) Scaled Agile Framework (SAFe) for Teams (mandatory) Scaled Agile Framework (SAFe) DevOps Practitioner (preferred) ITIL (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. Excellent analytical and troubleshooting skills Strong verbal and written communication skills Ability to work effectively with global, virtual teams Shift Information: This position requires you to work a later shift and may be assigned a second or third shift schedule. Candidates must be willing and able to work during evening or night shifts, as required based on business requirements.

Let's change the world. Amgen is searching for a Manager for the Submission Process, Planning, and Management (SPPM) team within Global CMC & Device Regulatory Affairs in Amgen India (AIN). The mission of SPPM is to support productivity across the organization and stakeholders by: Driving continuous improvement of processes and tools. Ensuring awareness of processes across the organization. Shaping the training strategy across the organization. The Manager in SPPM will be responsible for developing, maintaining, improving, and driving consistency across the practices and procedures related to CMC processes. Job Responsibilities of the SPPM Manager include: Support the new hire onboarding program. Facilitate communication across Global CMC & Device Regulatory Affairs to ensure process robustness and awareness. Drive consistency across Global CMC & Device Regulatory Affairs. Develop and maintain training materials for Global CMC & Device Regulatory Affairs. Train staff on select departmental processes and procedures. Ensure consistent use of processes and tools across the department. Continuous improvement of templates for presentations, timelines, trackers, and other tools. Liaise with functions in GRAAS and Operations to ensure alignment. Participate in cross-functional special project teams. Potential to oversee or manage staff. What we expect of you: We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Doctorate degree and 7 to 8 years of experience in manufacture, QA/QC, or regulatory CMC in the Pharmaceutical/Biotechnology industry OR Master's/Doctorate's degree and 8 to 12 years of experience in manufacture, QA/QC, or regulatory CMC in the Pharmaceutical/Biotechnology industry OR Bachelor's degree and 10 to 13 years of experience in manufacture, QA/QC, or regulatory CMC in the Pharmaceutical/Biotechnology industry. Preferred Qualifications: Technical & Functional Expertise: Bachelor's degree or higher in Life Sciences, Engineering, or a related field. Experience in Regulatory Affairs, CMC, Manufacturing, Quality Assurance/Control, Process Development, or Analytical Development in the pharmaceutical or biotechnology industry. Working knowledge of Regulatory CMC processes and global submission requirements. Experience developing or managing standard operating procedures (SOPs), process documentation, or training programs. Familiarity with regulatory systems or tools (e.g., Veeva Vault RIM, electronic document management or submission platforms). Certification or formal training in project management (e.g., PMP, CAPM) or process improvement methodologies (e.g., Lean, Six Sigma) is a plus. Collaboration & Communication Skills: Strong project management and organizational skills with the ability to manage multiple priorities. Excellent written and verbal communication skills, with experience presenting to diverse audiences. Demonstrated ability to collaborate across global, cross-functional, or matrixed teams. Experience supporting onboarding, training, or continuous improvement initiatives. Comfortable working in a fast-paced, deadline-driven environment with a focus on quality and consistency.

Let's change the world. This role leverages 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. You'll work closely with developers and business analysts to ensure that technical requirements for upcoming development are thoroughly elaborated. 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'll also collaborate with Product Managers and developers to maintain an efficient and consistent process, ensuring quality deliverables from the team. Roles & Responsibilities: Collaborate with System Architects and Product Managers to manage business analysis activities, ensuring alignment with engineering and product goals. Capture the voice of the customer to define business processes and product needs. Work with Product Managers and customers to define scope and value for new developments. Collaborate with Engineering and Product Management to prioritize release scopes and refine the Product backlog. Ensure non-functional requirements are included and prioritized in the Product and Release Backlogs. Facilitate the breakdown of Epics into Features and Sprint-Sized User Stories and participate in backlog reviews with the development team. Clearly express features in User Stories/requirements so all team members and collaborators understand how they fit into the product backlog. Translate complex business and technological needs into clear, actionable requirements for development teams. Ensure Acceptance Criteria and Definition of Done are well-defined. Work closely with UX to align technical requirements, scenarios, and business process maps with User Experience designs. Stay focused on software development to ensure it meets requirements, providing proactive feedback to collaborators. Develop and implement effective product demonstrations for internal and external collaborators. Maintain accurate documentation of configurations, processes, and changes. Serve as a liaison between global DTI 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. 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 8 - 10 years of experience in Life Science/Biotechnology/Pharmacology/Information Systems OR Bachelor's degree with 10 - 14 years of experience in Life Science/Biotechnology/Pharmacology/Information Systems OR Diploma with 14 - 18 years of experience in Life Science/Biotechnology/Pharmacology/Information Systems. Excellent problem-solving skills and a passion for tackling complex challenges in drug discovery with technology. Experience with Agile software development methodologies (Scrum). Excellent communication skills and the ability to interface with senior leadership with confidence and clarity. Experience in writing requirements for development of modern web applications. Has experience with writing user requirements and acceptance criteria in agile project management systems such as JIRA. Preferred Qualifications: Demonstrated expertise in a clinical development domain and related technology needs. Experience in managing product features for PI planning and developing product roadmaps and user journeys. Familiarity with low-code, no-code test automation software. Technical thought leadership. Able to communicate technical or complex subject matters in business terms. Jira Align experience. Knowledge of Cloud Platforms (AWS, Azure, GCP) and Enterprise infrastructure technologies. Experience of DevOps, Continuous Integration, and Continuous Delivery methodology. Professional Certifications: SAFe for Teams certification (preferred). Soft Skills: Able to work under minimal supervision. Skilled in providing oversight and mentoring team members. Demonstrated ability in effectively delegating work. 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. Shift Information: This position requires you to work a later shift and may be assigned a second or third shift schedule. Candidates must be willing and able to work during evening or night shifts, as required based on business requirements.

What you will do Let's do this. Let's change the world. In this vital role you will be responsible for leading and charting the course for the Digital Quality Management System (DQMS) product team that builds and transforms technology capabilities that positively impacts business outcomes. Specifically, this individual will be responsible for planning, design, configuration, deployment, and support of Veeva Digital QMS solution. The ideal candidate will have a consistent track record of leadership in technology-driven environments for the Information Systems area and has a passion for fostering innovation and excellence in the biotechnology industry. Additionally, collaboration with cross-functional and global teams is required to ensure seamless integration and operational excellence. The candidate will have a strong background in the end-to-end software development lifecycle and a Scaled Agile practitioner, coupled with leadership and transformation experience. This role demands the ability to drive and deliver against key organizational strategic initiatives, foster a collaborative environment, and deliver high-quality results in a matrixed organizational structure. Roles & Responsibilities: Lead a team responsible for the ongoing management, optimization, and innovation of Amgen's Digital QMS platform Lead technical teams to design system configurations, data mappings, and integrations between Veeva platforms and other quality systems Ensuring data integrity by defining data quality standards, monitoring data quality issues, and working with data stewards to address discrepancies Supporting the validation processes defined by Amgen for the Veeva QMS, ensuring compliance with regulatory standards (e.g., FDA, GxP) throughout the implementation and ongoing usage Responsible for leading, growing, and developing the Amgen Technology team in India, ensuring global ways of working are imbedded in the local organization Work with Product Owners, Service Owners and/or delivery teams to ensure that delivery matches commitments, acting as an escalation point and facilitating communication when service commitments are not met Develop talent, motivate the team, delegate effectively, champion diversity within the team and act as a role model of servant leadership Maintain strategic relationships and good communication with the leadership team about IS services and service roadmaps to ensure that all the collaborators feel informed and engaged Lead and manage large, diverse teams within a matrixed organization Collaborate with geographically dispersed teams, including those in the US and other international locations Lead all aspects of the software development lifecycle Develop and implement strategic plans for technology and workforce Develop a culture of collaboration, innovation, and continuous improvement Understand the decision-making process, workflows, and business and information needs of business partners and collaborators Contribute and define business outcomes + requirements, technology solutions, and services Improve activities being measured by crafting, monitoring, and optimizing relevant feedback loops through test & learn activities Ensure communication of key performance metrics and analysis of unmet needs Participate in stakeholder and other leadership meetings, working with other parts of the organization, and functional groups to ensure successful delivery Ensure ongoing alignment with strategy, compliance, and regulatory requirements for technology investments and services Ensure alignment of Technology service plans across organization Provide education to new partners with regards to IT service offerings What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Doctorate Degree and 2 years of experience in Business, Engineering, IT or related field OR Master's degree with 810 years of experience in Business, Engineering, IT or related field OR Bachelor's degree with 1014 years of experience in Business, Engineering, IT or related field OR Diploma with 1418 years of experience in Business, Engineering, IT or related field Solid understanding of QMS processes, including Deviation, Change Control, SQM & Audit & Inspections Expertise in Veeva QMS functionalities, including configuration, reporting, and workflow management Demonstrated experience in leading technology initiatives and teams with a track record of successful innovation Exceptional collaboration, communication and interpersonal skills to effectively manage partner relationships and build new partnerships Experience in applying technology best practice methodologies Scaled Agile (SAFe), ITIL, etc. Preferred Qualifications: Experience in a leadership role within a pharmaceutical or technology organization Extensive experience in the software development lifecycle with technology used in a GxP environment Experience using and adoption of Scaled Agile Framework (SAFe) Strong analytic/critical-thinking and decision-making abilities Ability to work effectively in a fast-paced, dynamic environment Established business partnerships and IS governance practices involving senior business partners Broad working knowledge of key IS domains and layers Scaled Agile Framework (SAFe) for Teams required 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 Excellent analytical and troubleshooting skills Strong verbal and written communication skills Ability to work effectively with global, virtual teams

ABOUT THE ROLE Role Description: The In this vital role you will join a collaborative team implementing and supporting the next generation of safety platforms and supporting technologies. In this role, you will focus on solving and resolving daily issues related to processing of data and files related to adverse events across multiple systems for case transmissions. You'll collaborate with others to ensure smooth data flow and quickly address problems, using your analytical skills to keep systems running efficiently. Roles & Responsibilities: Supervise daily data processes to identify and resolve issues where files are delayed or stuck. Tackle system and data reconciliation issues, collaborating with teams to resolve root causes and implement solutions. Work with various internal and external teams to address system dependencies and mitigate bottlenecks. Document and maintain records of recurring issues, proposed fixes, and preventive measures to improve process reliability. Collaborate with stakeholders to provide updates and ensure visibility in issue resolution. Develop and refine dashboards or reports to track system performance and file flow metrics. Participate in regular team meetings to discuss challenges, insights, and recommendations for process improvement. Responsible for ensuring that data is adhering to the KCI metrics on a regular basis Develop and implement test plans, scripts to validate system updates, patches and new deployments Identify and document system bugs or discrepancies, collaborating with developers or vendors to resolve them. Perform regression testing to ensure updates or fixes do not negatively impact existing functionalities. Automate repetitive testing processes and improve testing efficiency. Basic Qualifications and Experience: Bachelors degree and 0 to 3 years of Life Science/Biotechnology/Pharmacology/Information Systems experience OR Diploma and 4 to 7 years of Life Science/Biotechnology/Pharmacology/Information Systems experience Functional Skills: Must-Have Skills Strong analytical and problem-solving skills to diagnose and resolve system-related issues. Experience with data transfer processes and tackle stuck or delayed data files. Knowledge of testing methodologies and quality assurance standard processes. Proficiency in working with data analysis and QA tools. Knowledge of writing SQL will be helpful Good-to-Have Skills: Knowledge or some experience in database programming languages such as Oracle SQL and PL/SQL Some understanding of API integrations such as MuleSoft Outstanding written and verbal communication skills, and ability to explain technical concepts to non-technical clients Sharp learning agility, problem solving and analytical thinking Knowledgeable in SDLC, including requirements, design, testing, data analysis, change control Knowledgeable in reporting tools (e.g. Tableau) Experience with Signal platforms is a plus Professional Certifications (please mention if the certification is preferred or mandatory for the role): SAFe for Teams certification (preferred) Soft Skills: Able to work under minimal supervision Skilled in providing oversight and mentoring team members. Demonstrated ability in effectively delegating work 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 Shift Information: This position requires you to work a later shift and may be assigned a second or third shift schedule. Candidates must be willing and able to work during evening or night shifts, as required based on business requirements.

Roles & Responsibilities: Lead and handle 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 RDNA product teams and capabilities. Partner with Research and Technology leaders to create technology delivery strategy and prioritized agenda for RDNA. Ensure scientific data operations are scoped into building Research-wide Artificial Intelligence/Machine Learning capabilities. Provide leadership for the creation of functional analytics dashboards and fit-for-purposes applications for quantitative research, scientific analysis and business intelligence (via Spotfire, Tableau, Dash, Posit, Streamlit, RShiny, etc.). Manage a suite of custom internal platforms, commercial off-the-shelf (COTS) software, and systems integrations. 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 Data and Analytics 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: Masters degree and 8 to 10 years of Life Sciences, Computer Science, IT, Computational Chemistry/Cheminformatics, Computational Biology/Bioinformatics or related field, OR Bachelors degree and 10 to 14 years of Life 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 Familiarity with data analytics and scientific computing platforms such as Databricks, Dash, Streamlit, RShiny, Spotfire, Tableau and related programming languages like SQL, python, R 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 In-depth knowledge of Agile processes and principles for coordinated solutions and teams via SAFe Preferred Qualifications: Familiarity with advanced analytics, AI/ML and scientific computing infrastructure, such as High-Performance Compute (HPC) environments and clusters (e.g., SLURM, Kubernetes) 6+ years of experience in implementing and supporting biopharma scientific research data analytics. Experience in a leadership role within a pharmaceutical or technology organization Demonstrated expertise in a scientific domain area and related technology needs Understanding of scientific data strategy, data governance, data infrastructure Experience with cloud (e.g. AWS) and on-premise compute infrastructure 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

Senior Manager Data Science What you will do Let's do this. Let's change the world. In this vital role you will lead the technical delivery of AI-driven data applications within our Data & Analytics team, with a key focus on Competitive Intelligence (CI). Lead product development of AI-powered Competitive Intelligence solutions, ensuring alignment with business needs. Define and execute data and AI product roadmaps, translating business requirements into actionable insights. Oversee data integration, AI model deployment, and cloud-based infrastructure (AWS preferred) to enhance market intelligence. Develop automated pipelines for gathering, processing, and analyzing competitive data from various sources. Ensure high-quality, scalable, and secure data solutions, leveraging modern engineering best practices. Establish Agile delivery processes and drive developer productivity metrics. Proactively resolve issues, mitigate risks, and optimize performance during sprints. Directly manage and mentor team members, fostering a culture of innovation and excellence. Maintain financial oversight and resource allocation for product teams. What we expect of you We are all different, yet we all use our unique contributions to serve patients. This role will oversee the end-to-end development of data products that provide actionable competitive insights, working closely with engineers, data scientists, and product teams to ensure scalable, high-quality solutions. The ideal candidate has strong leadership skills, technical expertise in cloud-based AI solutions, and a strategic mindset for leveraging data to drive business decisions. Basic Qualifications: Master's degree and 8 to 10 years of proven ability in Data Science, Information Systems, Computer Science, or related field. OR Bachelor's degree and 10 to 14 years of proven ability in Data Science, Information Systems, Computer Science, or related field. OR Diploma and 14 to 18 years of proven ability in Data Science, Information Systems, Computer Science, or related field Preferred Qualifications: Experience in Competitive Intelligence data solutions, NLP, and predictive analytics. Strong understanding of data visualization and dashboarding for CI insights. Certifications in AWS, Agile, DevOps, or Scrum Master (CSM/PSM) preferred.