Sr Scientist - Business Owner, Data Automation

Amgen; Hyderabad; Hybrid; INR 1,800,000 - 2,400,000; Full time

Benefits offered by this job

Retirement benefits

Medical, dental and vision coverage

Life and disability insurance

Bonus program

Stock incentives

Time-off plans

Flexible work options

Job summary

Amgen is seeking a Sr. Scientist – Business Owner for Data Automation in Large Molecule Discovery Informatics. Lead data automation initiatives, align laboratory workflows with informatics and software teams, and champion structured, reusable data across research operations.

You will partner with scientists to map instrument-to-ecosystem data flows, define data models, and drive automation roadmaps that enhance data capture and analytics, including AI/ML-enabled workflows.

Qualifications

• PhD/MD/PharmD with relevant experience (2+ years).
• Master’s with 8+ years of related experience.
• Bachelor’s with 10+ years of related experience.

Responsibilities

• Serve as the Business Owner for Data Automation within Large Molecule Discovery.
• Gather, document, and prioritize requirements for lab workflows and automation.
• Translate scientific needs into functional requirements for informatics teams.
• Map data flows between instruments, ecosystems, and enterprise systems.
• Help define data models and data movement across platforms.
• Support automation roadmaps for research operations and analytics.
• Prioritize opportunities by impact, feasibility, and maintainability.
• Assist deployment, testing, validation, and adoption of automation capabilities.
• Communicate between scientists and technical teams to align with workflows.

Education

PhD/Doctorate, Life sciences/related fields

Master’s degree

Bachelor’s degree

Job description

Sr. Scientist – Business Owner, Data Automation (Large Molecule Discovery Informatics)

How might you defy imagination? If you feel like you’re part of something bigger, it’s because you are. At Amgen, our shared mission—to serve patients—is what drives all that we do. It is key to our becoming one of the world’s leading biotechnology companies. We are global collaborators who achieve together—researching, manufacturing, and delivering ever‑better products that reach over 10 million patients worldwide. It’s time for a career you can be proud of.

What You Will Do

In this vital role, you will serve as the Business Owner for Data Automation within Large Molecule Discovery (LMD), helping define, prioritize, and guide laboratory data automation initiatives across the LMD informatics ecosystem. You will focus on improving data capture, instrument integration, workflow efficiency, and the availability of structured, reusable scientific data across research operations.

• Serve as the primary scientific business owner for laboratory data automation initiatives within Large Molecule Discovery
• Gather, document, and prioritize business requirements related to laboratory workflows, instrument integration, scientific data capture, and automation opportunities
• Translate scientific process needs into clear functional requirements, use cases, workflow requirements, and success criteria for informatics and software development teams
• Partner with scientists and laboratory teams to map instrument‑to‑ecosystem data flows, understand current processes, and identify integration gaps
• Help define data models and workflow requirements that support automated data movement between instruments, research platforms, and enterprise systems
• Contribute to automation roadmaps that support research operations, scientific data management, and downstream analytics, reporting, and AI/ML‑enabled workflows
• Prioritize automation opportunities based on scientific impact, operational efficiency, implementation feasibility, and long‑term maintainability
• Support deployment, testing, validation, user acceptance, and adoption of automation capabilities within laboratory environments
• Facilitate communication between scientific users and technical implementation teams to ensure solutions align with real‑world scientific workflows and user needs
• Identify manual processes that can benefit from automation, integration, or improved standardization, and help establish best practices for instrument connectivity and automated data acquisition
• Support efforts to improve data quality, consistency, completeness, traceability, and structured data availability across laboratory workflows
• Monitor the effectiveness of implemented solutions and identify opportunities for continuous improvement and scalable reuse across LMD and partner organizations

What We Expect Of You

The collaborative professional we seek is a scientific informatics partner with these qualifications.

Basic Qualifications

• Doctorate degree (PhD, PharmD, or MD) and at least 2 years of directly related experience
• Master’s degree and at least 8 years of directly related experience
• Bachelor’s degree and at least 10 years of directly related experience

Preferred Qualifications

• Experience supporting biologics discovery, protein engineering, antibody discovery, assay development, laboratory operations, or related research environments
• Strong understanding of laboratory workflows, scientific data generation processes, and operational realities of research environments
• Experience working with laboratory instrumentation, scientific software systems, research data management platforms, or scientific informatics tools
• Familiarity with structured data capture principles and high‑quality scientific data for downstream analytics, reporting, and AI/ML‑enabled workflows
• Experience supporting laboratory automation, instrument integration, systems connectivity, or digital transformation initiatives
• Understanding of API‑based connectivity, automated data workflows, LIMS, ELN platforms, data hubs, or related enterprise systems
• Experience mapping business processes and translating user requirements into technical solutions, user stories, acceptance criteria, and delivery priorities
• Familiarity with Agile delivery practices, backlog management, iterative software development, systems troubleshooting, and workflow debugging concepts
• Strong facilitation, stakeholder engagement, and cross‑functional collaboration skills across scientific, informatics, software, automation, and vendor teams
• Ability to balance scientific priorities, implementation constraints, data governance needs, and long‑term ecosystem maintainability
• Excellent written and verbal communication skills, including the ability to explain technical concepts to scientific audiences and translate scientific requirements to technical teams
• Experience supporting change management, documentation, process standards, user enablement, and adoption of new digital or automation capabilities

What You Can Expect Of Us

• Comprehensive employee benefits package, including a retirement and savings plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
• A discretionary annual bonus program, or for field sales representatives, a sales‑based incentive plan
• Stock‑based long‑term incentives
• Award‑winning time‑off plans and bi‑annual company‑wide shutdowns
• Flexible work models, including remote work arrangements, where possible

Equal Opportunity Employer

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 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.