Job Description
- Job Description:
- 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
- Requirements:
- 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
- Benefits:
- 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)
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