Job Summary
The Director will guide the creation of generative foundation models for protein and antibody design. This role owns the full model training strategy and ensures computational designs are evaluated against experimental results. The Director will lead AI researchers and machine learning engineers and work closely with cross-functional partners to bring computational designs into the drug discovery pipeline.
Responsibilities
- Lead development of generative foundation models for protein and antibody design.
- Oversee end-to-end training strategies and validation using experimental outcomes.
- Manage a team of AI researchers and ML engineers.
- Partner with cross-functional teams to integrate computational designs into drug discovery.
Qualifications
- Ph.D. in a quantitative discipline and at least three years of relevant research experience.
- Demonstrated experience serving as a technical lead.
- Strong Python and PyTorch skills, with expertise in deep learning on multi-node infrastructure.
- Experience with structure-based generative modeling.
Lilly provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
