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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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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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, comparative genomics, machine learning, and evolutionary analysis to address fundamental questions in molecular biology and human disease. Responsibilities Develop computational pipelines for the discovery
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mammalian riboswitches and defining their biological functions. Research activities may include: Genetic manipulation of mammalian cell lines using CRISPR-based approaches Construction and analysis
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is supported by NIH funding and sits within a rich collaborative network at Yale, including the Yale Cancer Center, the Yale Stem Cell Center, the Wu Tsai Institute, and computational collaborators in
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network at Yale, with regular interactions and potential joint projects with colleagues in Biomedical Engineering and related areas (including collaborators such as Drs. Cristina Rodríguez, Evelyn Lake, and
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for interaction and collaboration with faculty and other scholars, both at Yale and beyond. Internal Network: Dr Robert Sanderson – Primary mentor and supervisor Dr William Mattingly – Secondary mentor, assistance
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construction, data harmonization, statistical analysis, and reporting. Mentoring and professional development The postdoctoral associate will participate in regular one-to-one meetings with the PI, weekly
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The Koch lab is seeking a postdoctoral scientist with expertise in population genetics and a motivated interest in human genetics. Our lab develops novel methods, theory, and analysis paradigms. We