Sr Scientist – Business Owner, Data Automation Full-time NEW

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–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

Let's do this. Let's change the world. 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.

As a scientifically grounded partner to laboratory and technology teams, you will work closely with scientists, laboratory operations teams, software engineers, informatics specialists, automation experts, and external partners to translate scientific workflow needs into clear business requirements. You will help ensure laboratory-generated data can move efficiently from instruments and research platforms into enterprise systems while maintaining data quality, traceability, and usability.

This position sits at the intersection of laboratory science, research informatics, and digital transformation. You will bring a strong understanding of scientific workflows and a practical ability to collaborate with technical implementation teams to deliver automation and integration capabilities that improve how data is captured, managed, and used across LMD.

In this role, your core responsibilities include:

• 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

We are all different, yet we all use our unique contributions to serve patients. The collaborative professional we seek is a scientific informatics partner with these qualifications.

Basic Qualifications:

Doctorate degree PhD OR PharmD OR MD [and relevant post-doc where applicable] and 2 years of directly related experience

Or

Master's degree and 8+ years of directly related experience

Or

Bachelor's degree and 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 the 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 the use of 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 scientific requirements to technical teams
• Experience supporting change management, documentation, process standards, user enablement, and adoption of new digital or automation capabilities

Thrive

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