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models to predict TCR-peptide/MHC (pMHC) interactions. Utilizing structural computational biology techniques to characterize and model TCR-pMHC interactions. Designing experiments to test and validate
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apply cutting-edge machine learning algorithms, with focus on foundation models and LLMs/agents, to analyze complex biological data. This data includes gsingle cell genomics profiles, spatial data, and
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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
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at Genentech (gCS). The group develops and applies state-of-the-art ML/AI models to address open questions in genome biology, with the goal of understanding causal mechanisms of disease and facilitating drug
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omics, label-free microscopy, in vivo screens, and foundational models. The ideal candidate for this role has a strong foundation in both experimental and computational sciences, but exceptional
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The Position The Translational Medicine (TM) department at Genentech is seeking a highly motivated Postdoctoral Fellow (Bioinformatics) to lead analysis of complex biological datasets related
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a plus. Be technically rigorous, curious and creative. Show enthusiasm in tackling complex biological problems and developing/applying new technologies. Have advanced at least one key research project
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characterization of membrane protein complexes that mediate inflammatory signaling by using a confluence of structural, biochemical, cell biological and computational tools. The candidate is expected to work
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RNA-seq, single-cell ATAC-seq, multiome, etc). Demonstrated ability to effectively communicate about complex bioinformatics problems to both technical and non-technical audiences. Independent, highly