- South San Francisco, California, United States
- Full-time · Manager
- 4+ years
Lead the AI and machine learning strategy and execution across therapeutic areas, integrating multi-omics, imaging, biomarker, and clinical data to support clinical drug development and regulatory evidence generation.
Compensation
The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications.
Responsibilities
- Set the strategy for shared AI and machine learning capabilities
- Define and execute the group's AI/ML strategy across therapeutic areas
- Partner with therapeutic area computational biology leaders and program-facing scientists
- Influence Precision Medicine AI/ML strategy
- Own the scientific analytics stack and infrastructure roadmap
Requirements
- Doctorate degree
- Master’s degree
- Bachelor’s degree
- Nice to have: AI/ML experience
- Nice to have: AI/ML development