Scientific Business Analyst (Sr Associate) - Large Molecule Discovery Informatics

Overview

Work as a Scientific Business Systems Analyst within a SAFe Agile product team supporting Large Molecule Discovery and Research Informatics capabilities. Translate scientific, workflow, data, and platform needs into technical requirements and delivery-ready artifacts for Benchling-enabled scientific software platforms and workflows.

What you'll do

• Serve as a liaison between global Research Informatics teams, Large Molecule Discovery 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.
• 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.
• Develop and maintain functional documentation, workflow diagrams, user guides, release notes, training materials, and communication plans.
• 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.
• Foster collaboration, product thinking, continuous improvement, user empathy, and measurable business value delivery.

What you'll need

• Master's or Bachelor's degree with 5 - 8 years of experience in Life Sciences, Biotechnology, Bioinformatics, Computer Science, Information Systems, Computational Biology, or a related field.
• Strong analytical and gap/fit assessment skills with the ability to create clarity from ambiguous scientific and technology problems.
• Excellent written and verbal communication skills, with the ability to explain technical or scientific concepts in business terms.
• Ability to work under minimal supervision while proactively managing priorities, risks, dependencies, and stakeholder expectations.
• Strong facilitation skills for workshops, backlog refinement, UAT sessions, demos, and cross-functional decision-making forums.
• High degree of initiative, ownership, curiosity, and self-motivation.
• Ability to work effectively with global, virtual, and matrixed teams.
• Team-oriented mindset with focus on quality, adoption, delivery discipline, and measurable business value.

Nice to have

• 5+ years of experience implementing, configuring, supporting, or enhancing scientific software platforms in a biopharma, biotechnology, life sciences, laboratory, or research informatics environment.
• Hands-on or strong functional experience with Benchling or comparable ELN/LIMS platforms.
• Experience supporting scientific workflows related to large molecule discovery, protein engineering, molecular biology, biologics discovery, protein sequence data, or sample/biomolecule registration.
• Experience working with scientific stakeholders to define data capture, metadata, controlled vocabulary, reporting, and integration requirements.
• Experience with requirements management, release delivery, UAT, production support, and change management in Agile product teams.
• SAFe for Teams certification, Certified ScrumMaster, Product Owner certification, Business Analysis certification, or equivalent Agile/product delivery certification.

Details

• Location: Hyderabad, India.
• This position may require collaboration with global teams across time zones.
• Candidates must be willing and able to work flexible hours as needed to meet business and product delivery needs.