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based at Yale School of Medicine for 25 years. It is an international, collaborative network of epidemiologists, statisticians, pharmacoepidemiologists, and clinicians with an exceptional record
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well as part of an ENCODE functional characterization center. The lab is especially interested in non-coding cis-regulatory elements (CREs) and the variation within them, using high-throughput experimental
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scholarly journal articles and then leveraging professional networks to obtain a copy, or by going to web-scale search engines or AI to find what has made it to the open web. At Yale, we envision a different
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; prior coding experience (e.g., Python, MATLAB, or similar) is a desirable plus but not strictly required. Experience with mouse surgery is highly desirable. Track record of productivity, independence, and
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Extract relationships between the entities discovered and form an internal knowledge graph and timeline of events across the full corpus Build, potentially using AI code assistants, a user interface through
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in statistics, machine learning, clinical investigation, and research leadership; and develop an individual development plan addressing publications, funding, communication, networking, and the next
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) consortium as well as part of an ENCODE functional characterization center. The lab is especially interested in non-coding cis-regulatory elements (CREs) and the variation within them, using high-throughput