Director - Drug Discovery AI
Eli Lilly and Company (company site, opens in a new tab)6+ yrsBengaluruOn-siteDirect career pageEst. 55–95 LPA
Posted 10h ago
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Job description
Structured overview of role & requirements
About This Role
- Set scientific direction and technical strategy for AI research programs across the full drug discovery value chain, including multiple discovery stages and modalities.
- Lead and develop a multidisciplinary team of AI scientists, engineers, and computational biologists/chemists, collaborating closely with experimental scientists.
- Translate AI research breakthroughs into scalable, production-grade capabilities that improve discovery outcomes like hit rates, cycle times, and candidate quality.
Minimum Requirements
- PhD in Machine Learning, Computer Science, Computational Chemistry, Computational Biology, Physics, Statistics, or related quantitative field.
- 6+ years of post-PhD experience in machine learning research in industry or academia, including leadership of research programs and managing scientific teams.
- Proficiency in Python and ML frameworks (e.g., PyTorch) with hands-on experience developing and evaluating novel AI models.
- Work Experience Required: 6+ years post-PhD machine learning research experience.
Ideal Candidate Profile
- World-class machine learning scientist with deep interdisciplinary fluency in chemistry, biology, and genomics relevant to drug discovery AI.
- Proven track record building and leading large-scale AI research programs with strategic influence in the life sciences domain.
- Experience with AI-driven drug discovery impacting molecules or targets progressing toward clinical development, ideally gained in pharma, biotech, or through close wet-lab partnership.