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discovery. This position in particular focuses on sequence-to-function deep genomics modeling, with the goal of developing performant models that make generalizable out-of-distribution predictions
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Fellow will lead projects that will advance our understanding on the role of distinct cellular states and tumor microenvironments in cancer, with a particular emphasis on metastatic breast cancer and tumor
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and interdisciplinary group with diverse areas and commitment to tackle challenging problems in biology and medicine and will work on independent research projects, which leveraging collaborations
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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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the molecular pathways of disease and to establish the mechanism of action of our therapeutics. The successful candidate will work with our team to analyze multi-level biomarker data generated from pre-clinical
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will be part of the Genentech post-doctoral training program that provides an outstanding environment and the opportunity to pursue fundamental basic science questions in an environment focused
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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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teams. The Opportunity: Opportunity to work closely with computational colleagues to analyze, evaluate, and perform integrative computational analyses. Leverage multimodal high dimensional data to explore
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, ultimately leading to the development of novel therapeutic approaches. The Opportunity Comprehensive Analysis: Engage in detailed genomic and functional analyses of patient samples to characterize disorders
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applicant will have an opportunity to work closely with a diverse scientific team that includes microbiologists, immunologists, cell biologists and bioinformaticians. Who You Are: Recent PhD in the field