Role
Senior AI Science Lead responsible for setting scientific direction and technical strategy for large-scale AI research programs to advance drug discovery at Lilly.
Responsibilities
- lead a team of AI scientists and engineers across computational chemistry, genomics, and related areas;
- shape AI model architectures, training paradigms, and evaluation frameworks;
- translate research into scalable, impactful capabilities;
- collaborate closely with Lilly Research Labs, engineering, and external partners like NVIDIA to accelerate scientific outcomes.
Requirements
- PhD in machine learning, computational chemistry, biology, or related field;
- 6+ years in advanced ML research with leadership experience;
- expertise in foundation models, self-supervised learning, generative AI;
- proficiency in Python and ML frameworks such as PyTorch;
- proven publication record.
Preferred
- experience in high-performance distributed AI systems, experimental biology or chemistry workflows, team mentorship, and responsible AI practices.
High-Value
leadership in large-scale AI research, foundation models, drug discovery, Silicon Valley location, hybrid work (3 onsite/2 remote).
Travel
not specified.
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This position is listed as full time and able to be worked remotely.