Position Summary Reimagine the next generation of drug discovery at Lilly using AI/ML at the intersection of chemistry and biology. Geography is flexible. What You Will Do Drive drug discovery programs by developing and applying innovative AI/ML models. Collaborate with experimental scientists to connect computational predictions with laboratory experiments; support hypothesis testing and iterate between modeling and experimental results. Lead scientific foundation models integrating molecular design and biological data to support decision-making across the drug discovery pipeline. Publish in top‑tier venues and represent Lilly in the global AI4Science community. Work with MLOps and Data Engineering partners to transition prototypes into scalable tools and build reusable, reliable AI/ML solutions. Minimum Qualifications PhD in Computer Science, Machine Learning, Statistics, Computational Chemistry/Biology, Physics, or a related scientific field. First‑author publications in high‑impact journals or top‑tier ML conferences. Experience with modern AI/ML frameworks and molecular‑data architectures (e.g., GNNs, Transformers). Preferred Qualifications Translate chemistry/biology problems into ML formulations. Collaborate with laboratory scientists to develop AI/ML solutions that drive experimentation and model refinement. Compensation/Benefits (eligible) Anticipated wage: $151,500–$244,200; company bonus; benefits including 401(k), pension, vacation, medical/dental/vision, flexible benefits, life insurance, time off/leave, and well‑being benefits. Application Instruction If you require accommodation to submit a resume, complete: #J-18808-Ljbffr