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and deep learning methods for large-scale genomic, clinical, and imaging biobank data, with stable multi-year NIH support. The Zhi Laboratory has a sustained track record of methods development
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record of first-author publication(s) Preferred: Experience with single-cell or spatial transcriptomics Experience in statistical genetics (GWAS, eQTL) Experience with machine learning or deep learning
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foundation in biology and deep interest in virology, immunology, and/or viral genomics and be scientifically rigorous, creative, and enthusiastic to develop new experimental methods. Experience in
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; Yale Cardiovascular Data Science (CarDS) Laboratory Anticipated dates: Start date: October 1, 2026. Initial appointment: one year, with the possibility of annual renewal for a total appointment of up
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, if they deposit their datasets at all, frequently do not have the time nor information management expertise to describe the data sufficiently well for discovery. The research datasets are typically found by reading