AI Scientist (Model Building & Training)

Role: AI Scientist specializing in foundational model development for drug discovery at an Lilly-NVIDIA AI co-innovation lab in Silicon Valley. Responsibilities: design, train, evaluate generative and predictive models to advance molecular and biological understanding; translate AI research into practical scientific insights across chemistry, genomics, and structure-based discovery; collaborate with multidisciplinary teams, including chemists, biologists, and engineers; develop rigorous evaluation strategies linking model performance to experimental outcomes; drive research impact from concept to application. Requirements: PhD in Machine Learning, Computational Chemistry, Biology, or related field; 2+ years post-PhD research experience; deep expertise in ML frameworks like PyTorch or JAX; proven contributions to scientific ML models, publications, patents, or open-source work; strong programming skills; experience with GPU training; prior applying ML to chemical/biological data. Preferred: impactful research in generative/predictive models, scientific validation, cross-disciplinary communication. High-Value: foundation models, drug discovery, molecular design, genomics, structure-based methods, GPU infrastructure, collaborative research environment. Location & Work Setup: Silicon Valley; hybrid model (onsite/remote).