A position is available for a postdoctoral fellow to join the Genentech Computational Sciences (gCS) organization which uses data, by developing best in class computational methods, and applying them to the most relevant scientific problems across all stages of the pipeline. This position is based within the Sterne-Weiler Lab in Computational Biology / Discovery Oncology and co-mentored by the Frey Lab in Prescient Design (Machine Learning for Drug Discovery). The postdoctoral position is focused on developing and applying foundational AI models to investigate clinically relevant cancer vulnerabilities and their relationship with molecular context. Spanning functional genomics and large-scale clinical genomics, the postdoctoral fellow will build and train new models to understand the impact of mutation on protein structure and the role of genomic alterations on cancer cell state. While this position is computational, the project is highly collaborative, involving regular interaction with laboratory colleagues in the Discovery Oncology therapeutic area.