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. The successful applicant will have an opportunity to work with multiple groups with expertise spanning scientific disciplines and approaches, including oncology, single-cell biology, spatial transcriptomics, high
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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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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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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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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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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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computational, the project is highly collaborative, involving regular interaction with laboratory colleagues in the Discovery Oncology therapeutic area. The Opportunity: Opportunity to work closely with
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candidate will focus on developing approaches that underpin the analysis of new datasets, especially in the context of spatial genomics. The applicant will work closely with laboratory colleagues in
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is highly collaborative, with regular interactions across the organization. You will have the opportunity to work closely with computational colleagues to access and analyze both internal data (eg from
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environment that champions innovation and scientific excellence! For information about Dr. Moudrusan's lab at Genentech, please go to: https://www.gene.com/scientists/our-scientists/zora-modrusan