AI Scientist: Drug Discovery Foundation Models

Eli Lilly and Company; Palo Alto (CA); Hybrid; USD 168,000 - 268,000; Full time

Job summary

Eli Lilly and Company is seeking an Advisor - AI Scientist to advance AI for drug discovery in our Silicon Valley hub. You will design, train, and evaluate foundation models that intersect chemistry, biology, and physics, using Lilly data to drive breakthroughs in medicine.

Join a team that blends machine learning with wet-lab insights, developing scalable AI approaches and collaborating with engineers, chemists, and biologists to accelerate discovery at scale.

Qualifications

• PhD in a quantitative field with 2+ years of relevant research beyond PhD.
• Proven track record in ML research with publications, patents, or open-source contributions.
• Ability to design, train, and evaluate AI models for scientific applications.

Responsibilities

• Design, train, and evaluate foundation models for chemistry and biology.
• Develop generative and predictive models from Lilly data to accelerate drug discovery.
• Create robust evaluation strategies linking model performance to experimental outcomes.
• Collaborate with researchers, engineers, and domain experts to apply AI in discovery programs.
• Translate research from concept to impact with practical applications.

Skills

Python

ML frameworks

PyTorch

JAX

GPU execution

Cross-disciplinary collaboration

Education

PhD in ML/CS/Computational Chemistry/Computational Biology

Tools

PyTorch

JAX

GPU infrastructure

Job description

Eli Lilly and Company is seeking an Advisor - AI Scientist to advance AI for drug discovery in our Silicon Valley hub. You will design, train, and evaluate foundation models that intersect chemistry, biology, and physics, using Lilly data to drive breakthroughs in medicine.

Join a team that blends machine learning with wet-lab insights, developing scalable AI approaches and collaborating with engineers, chemists, and biologists to accelerate discovery at scale.