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science, scalable data analysis, and next-generation experimental workflows that link data acquisition, analysis, and interpretation. We are seeking an ambitious Postdoc to join us in shaping how AI-enabled
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at the intersection of machine learning, CRISPR screening data analysis, and multi-omics to uncover genetic interactions and synthetic lethalities in cancer. Develop and apply scalable, reproducible computational
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at the intersection of machine learning, CRISPR screening data analysis, and multi-omics to uncover genetic interactions and synthetic lethalities in cancer. Develop and apply scalable, reproducible computational
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with RNA-seq procedures and analysis (short- and/or long-read preferred) Familiarity with splicing regulation, RBPs, or 3′UTR biology is a plus Comfort working with mouse models and brain tissue (e.g
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appropriate analysis strategies for genetic and ‘omic data integrated into epidemiological investigations; Collaborating with external (including many international) researchers to lead or contribute to large