Director of AI & ML for Translational Clinical Analytics

1001 Amgen Inc.

South San Francisco (CA)

On-site

USD 180,000 - 240,000

Full time

3 days ago
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Benefits offered by this job

Competitive Benefits
Flexible Work Model
Career Development

Job summary

Amgen Inc. is seeking a Director of AI and Machine Learning to own an asset‑agnostic portfolio turning multi‑omics, imaging and clinical data into actionable insights for drug development.

You will connect scientific strategy with technical execution, advance predictive analytics, and lead a high‑impact team driving scalable AI capabilities. The role requires deep scientific judgment, leadership excellence, and the ability to translate biology questions into practical analytics in a regulated

Qualifications

  • PhD or equivalent with 4+ years of leadership experience in relevant fields.
  • Experience translating scientific priorities into AI-enabled solutions.
  • Proven AI/ML track record in biomedicine or translational science.
  • Experience with multi-omics, imaging, biomarkers, and clinical data.

Responsibilities

  • Define and execute AI/ML strategy across therapeutic areas.
  • Lead architecture and evolution of analytics stack for reproducibility.
  • Guide data strategy, privacy, provenance, and model documentation.
  • Manage and develop a scientific/technical team and partnerships.
  • Partner with enterprise teams to deliver scalable AI capabilities.

Skills

AI/ML leadership
People management
Strategic planning
Cross-functional collaboration
Scientific judgment

Education

PhD in computational biology / biomedical data science

Tools

Codex
AWS
MLOps

Job description

Amgen Inc. is seeking a Director of AI and Machine Learning to own an asset‑agnostic portfolio turning multi‑omics, imaging and clinical data into actionable insights for drug development.

You will connect scientific strategy with technical execution, advance predictive analytics, and lead a high‑impact team driving scalable AI capabilities. The role requires deep scientific judgment, leadership excellence, and the ability to translate biology questions into practical analytics in a regulated

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