Sr Associate Scientific Business Analyst

Career Category Information Systems Job Description ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world's toughest diseases, and make people's lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting edge of innovation, using technology and human genetic data to push beyond what is known today.

Role Description: This role works closely with Amgen Research partners and Technology peers to ensure that scientific, workflow, data, and platform needs for Large Molecule Discovery are translated into clear technical requirements for solution implementation. The role leverages scientific domain knowledge, Benchling platform understanding, and business process expertise to shape epics, user stories, acceptance criteria, business process maps, use cases, data requirements, and UAT scenarios for delivery teams. You will join a multi-functional team of scientists, product owners, business analysts, developers, architects, and platform experts enabling digital capabilities for biologics discovery. The team supports scientific software platforms and workflows that enable capture, analysis, storage, registration, search, reporting, and downstream availability of biologics research data. The role is especially focused on Benchling-enabled ELN/LIMS capabilities, protein sequence and biomolecule workflows, scientific data quality, and integration readiness for downstream reporting, analytics, and AI/ML use cases. Roles & Responsibilities: Function as a Scientific Business Systems Analyst within a SAFe Agile product team supporting Large Molecule Discovery and Research Informatics capabilities. Serve as a liaison between global Research Informatics teams, LMD scientists, scientific SMEs, Product Owners, architects, developers, and support teams. Translate complex scientific and technology needs into actionable epics, features, user stories, acceptance criteria, data rules, process flows, and testable requirements. Support Benchling-related delivery across ELN, LIMS, Registry, Inventory, Requests, Workflows, templates, schemas, permissions, and data model enhancements. Partner with scientists and SMEs to understand and document workflows across cloning, expression, protein sequence, phage and yeast display, NGS, purification, analytics, assays, biomolecule registration, and handoff reporting. Analyze current and future state workflows to identify process standardization, data quality, metadata, automation, and adoption opportunities. Support feature requests, feedback, production issues, bugs, enhancements, data migration, access needs, and release readiness activities in collaboration with product and engineering teams. Define and validate data requirements for Benchling and connected platforms, including downstream reporting, data products, Kafka/CDL-style integrations, and analytics consumption. Identify and champion opportunities to leverage Agentic AI, Generative AI, and AI-enabled development tools to streamline research processes, improve knowledge discovery, and increase delivery efficiency across Large Molecule Discovery capabilities. Develop and maintain functional documentation, workflow diagrams, user guides, release notes, training materials, and communication plans for business users. Coordinate UAT planning and execution, including test scenarios, traceability to requirements, defect triage, and business sign-off readiness. Contribute to backlog refinement, sprint planning, demos, retrospectives, PI planning, roadmap inputs, and dependency tracking. Ensure solutions are aligned with operational excellence, cybersecurity, compliance, data governance, and research data quality expectations. Collaborate with geographically dispersed teams across India, the United States, and other Amgen research sites, supporting