Sr Scientist - Business Owner, Data Automation

Job title: Sr Scientist - Business Owner, Data Automation

About the Role Join Amgen as Sr. Scientist - Business Owner, Data Automation within Large Molecule Discovery Informatics. In this role you will serve as the business owner for data automation, shaping initiatives across the LMD informatics ecosystem to improve data capture, instrument integration, and the management of structured data to accelerate discovery.

What You'll Do

• Serve as the primary scientific business owner for laboratory data automation initiatives within Large Molecule Discovery.
• Gather, document, and prioritize business requirements for lab workflows, instrument integration, data capture, and automation opportunities.
• Translate scientific process needs into functional requirements, use cases, workflow requirements, and success criteria for informatics and software development teams.
• Partner with scientists and lab teams to map instrument-to-ecosystem data flows, understand current processes, and identify integration gaps.
• Define data models and workflow requirements that enable automated data movement between instruments, platforms, and enterprise systems.
• Contribute to automation roadmaps supporting research operations, scientific data management, downstream analytics, and AI/ML-enabled workflows.
• Prioritize automation opportunities based on scientific impact, operational efficiency, 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 teams to ensure solutions align with real-world workflows and needs.
• Identify manual processes suitable for automation, integration, or standardization; establish best practices for instrument connectivity and automated data acquisition.
• Support improvements to data quality, completeness, traceability, and structured data availability across workflows.
• Monitor effectiveness of implemented solutions and identify opportunities for continuous improvement and scalable reuse across LMD and partner organizations.

What We're Looking For

• Basic Qualifications: Doctorate (PhD/PharmD/MD) with 2 years of directly related experience; OR Master's with 8+ years; OR Bachelor's with 10+ years.
• 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 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, 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.

Nice to Have

• Experience designing scalable automation solutions for cross-organization reuse across LMD and partner organizations.
• Familiarity with AI/ML-enabled workflows and data-driven analytics (as part of downstream analytics).

Compensation & Benefits

• Not disclosed in posting.
• Benefits information not available in the current posting.