Role Summary
We are seeking a Research Advisor for AI for Science (ADMET Intelligence) to reimagine the next generation of drug discovery. Sitting at the intersection of AI/ML, Chemistry, and Biology, you will pioneer state-of-the-art technologies that fundamentally change how we understand biology and navigate chemical space, turning breakthroughs in AI/ML into life-saving medicine. Location for this position is flexible.
Responsibilities
- Drive drug discovery programs by developing and applying innovative AI/ML models.
- Collaborate closely with experimental scientists to connect computational predictions with lab experiments. You will 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, gaining experience with approaches that support decision‑making across the drug discovery pipeline.
- 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, learning guidelines for building reusable and reliable AI/ML solutions for discovery teams.
Qualifications
- Required: PhD in Computer Science, Machine Learning, Statistics, Computational Chemistry, Computational Biology, Physics, or a Scientific field.
- Required: Innovation in science evidenced by first-author publications in high-impact journals or top-tier ML conferences.
- Required: Experience in modern AI/ML frameworks and architectures relevant to molecular data (e.g. GNN, Transformers etc.).
- Preferred: Demonstrated ability to translate chemistry and biology problems into machine learning formulations.
- Preferred: Experience collaborating with lab scientists to develop AI/ML solutions that drive the next cycle of experimentation and model refinement.