Director - Drug Discovery AI
Eli Lilly and Company (company site, opens in a new tab)6+ yrsBengaluruOn-siteDirect career pageEst. 65–95 LPA
Posted 8h ago
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Job description
Structured overview of role & requirements
About This Role
- Set scientific and technical strategy for AI research across the drug discovery value chain, including target ID, hit finding, lead optimization, ADMET, and biomarker discovery.
- Lead and develop teams of AI scientists, engineers, computational chemists, and biologists alongside experimental scientists to deliver scalable AI capabilities.
- Advance foundation models using proprietary data and translate AI research into measurable improvements in discovery outcomes such as hit rates and candidate quality.
Minimum Requirements
- PhD in Machine Learning, Computer Science, Computational Chemistry, Computational Biology, Physics, Statistics, or related quantitative field.
- 6+ years post-PhD experience in machine learning research, including leadership of research programs and teams.
- Proficiency in Python and ML frameworks like PyTorch, with hands-on model development experience.
- Work Experience Required: Minimum 6 years post-PhD machine learning research experience, including team and technical strategy leadership.
Ideal Candidate Profile
- World-class machine learning scientist with deep knowledge in chemistry, biology, and genomics applied to drug discovery.
- Experience leading large-scale AI research programs with a track record of AI-derived molecules or targets advancing toward clinical stages.
- Strategic thinker able to set architectural directions for multi-modal foundation models integrating diverse drug discovery data types.