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. The Fellow will work in close partnership with the lab's experimental team to build and apply analytical frameworks that translate these data into mechanistic insight and therapeutic hypotheses. As part of
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expression, cell state-specific regulatory programs, and clinical outcomes. Related projects will include: Develop and apply statistical or machine learning approaches to model the effects of common and rare
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development through emerging deep learning techniques is of strong interest. The candidate will also evaluate and integrate existing tools and databases into high-throughput pipelines, and facilitate
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will work in collaboration with other existing clinical informatics teams across various departments (nursing, pharmacy, pathology, radiology) and in tight partnership with clinical operations, analytics
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will work in collaboration with other existing clinical informatics teams across various departments (nursing, pharmacy, pathology, radiology) and in tight partnership with clinical operations, analytics