Drive drug discovery programs by developing and applying innovative AI/ML models.
Collaborate closely with experimental scientists to connect computational predictions with lab experiments.
Support hypothesis testing and help iterate between modeling and experimental results.
Lead the development of scientific foundation models that integrate molecular design and biological data.
Advance the field by publishing findings in top-tier venues and representing Lilly at the forefront of the global AI4Science community.
Work with MLOps and Data Engineering partners to help transition research prototypes into scalable tools.

PhD in Computer Science, Machine Learning, Statistics, Computational Chemistry, Computational Biology, Physics, or a Scientific field
Innovation in science evidenced by first-author publications in high-impact journals or top-tier ML conferences.
Experience in modern AI/ML frameworks and architectures relevant to molecular data (e.g. GNN, Transformers etc.)
Demonstrated ability to translate chemistry and biology problems into machine learning formulations.
Experience collaborating with lab scientists to develop AI/ML solutions that drive the next cycle of experimentation and model refinement

eligibility to participate in a company-sponsored 401(k)
pension
vacation benefits
eligibility for medical, dental, vision, and prescription drug benefits
flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts)
life insurance and death benefits
certain time off and leave of absence benefits
well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities)

Senior Advisor – AI for Science, ADMET Intelligence

Key skills