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

amgen; Hyderabad; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Amgen seeks a Scientific Business Systems Analyst to translate biology and technology needs into actionable delivery artifacts for Large Molecule Discovery and Research Informatics. You will collaborate with scientists, SMEs, product owners, and platform experts to shape epics, user stories, data rules, and acceptance criteria for Benchling-enabled workflows.

You will act as a liaison across global teams, documenting cloning, expression, protein sequence, phage/yeast display, NGS, purification,

Qualifications

• Translate complex scientific and technology needs into actionable epics, features, user stories, acceptance criteria, data rules, processes, and testable requirements.
• Support Benchling-related delivery across ELN, LIMS, Registry, Inventory, Requests, Workflows, templates, schemas, permissions, and data model enhancements.
• Define data requirements for Benchling and connected platforms, including downstream reporting and analytics consumption.
• Identify opportunities to leverage AI/GenAI in scientific data workflows.

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

Job description

Career Category

Information Systems

Job Description

ABOUT THE ROLE

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