Sr. Scientist – AI/ML Governance & Operations
Amgen
Career Category
Research
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
In this vital role, the LM ML Standards & Governance Specialist will play a key part in establishing the foundational standards, governance processes, and operational practices required to scale AI and machine learning capabilities across Large Molecule Discovery (LMD). This role will help ensure that machine learning assets, code repositories, documentation, data dependencies, and deployment practices are reproducible, secure, compliant, and aligned with enterprise requirements.
Working closely with AI/ML scientists, software engineers, data engineers, informatics teams, and enterprise technology partners, this individual will help define and implement governance frameworks that support the responsible development, deployment, and maintenance of AI-enabled scientific solutions. The role will serve as a bridge between scientific innovation and operational rigor, ensuring that emerging AI capabilities can be effectively maintained, audited, and scaled across research workflows.
This position is well suited for someone who enjoys building structure around complex technical ecosystems and has experience supporting machine learning operations, technical governance, software lifecycle management, or scientific platform administration.
Core responsibilities include:
- Establish standards for machine learning code, documentation, model artifacts, and supporting technical assets
- Define and implement best practices for model lifecycle management, version control, release management, and reproducibility
- Partner with scientists to ensure AI workflows can be validated, reproduced, and maintained over time
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