Role Lead the development of protein and antibody foundation models for Lilly's AI-driven generative design platform, focusing on therapeutic molecules targeting challenging classes like GPCRs. Responsibilities oversee end-to-end model architecture, training strategies, and validation lead a team of AI researchers and ML engineers develop proprietary biological data integration set technical direction, and evaluate external innovations
Requirements:
Ph.D. in computer science, computational biology, or related field 3+ years post-Ph.D. research experience with leadership in molecular AI modeling proven track record in generative or predictive models for protein design strong Python and PyTorch skills experience with multi-GPU training infrastructure Preferred expertise in equivariant architectures, diffusion models, graph transformers, and antibody design experience translating research prototypes into routine tools contributions to open-source or benchmarks ability to collaborate across interdisciplinary teams High-Value focus on protein and antibody therapeutics within Lilly's BioTDR, utilizing LillyPod supercomputing infrastructure leadership role in cutting-edge AI for biotherapeutic discovery located at Lilly's San Diego site, with potential for close collaboration with wet-lab scientists
