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) through the analysis of data from the Vera C. Rubin Observatory. Successful candidates will have access to local computing facilities and will have the opportunity to interact and work with
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, related conference travel, workshops, and computing resources will be available. Further information about the BHI may be found at http://www.bhi.fas.harvard.edu ; information about BHEX may be found at
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frameworks (e.g., Seurat, Bioconductor, scanpy, squidpy, scvi-tools), and comfort working in a Linux/high-performance computing environment. Working knowledge of, or a strong willingness to learn, the
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applications (experience in R and/or Python, as well as cloud computing) A strong background in statistics and biology Experience managing and curating large datasets Excellent oral and written