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 with experience 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)

Research Advisor – AI for Science, ADMET Intelligence

Key skills