Director, AI/ML - Generative Foundation Models for Biotherapeutics

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.