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and analyze biomedical and healthcare data to promote health for all. More information about BIDS can be found here at: https://medicine.yale.edu/biomedical-informatics-data-science/ (Link is
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organize and analyze biomedical and healthcare data to promote health for all. More information about BIDS can be found here: https://medicine.yale.edu/biomedical-informatics-data-science/ (Link is
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, engineering, applied mathematics, physics) Prior experience with Python and the use of various related packages is necessary Prior experience with PyTorch is helpful, but not essential Interest in
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programming (Stata, with opportunities for R or Python) Study design and analytic methods (cross-sectional, longitudinal, quasi-experimental designs) Manuscript preparation and scientific writing
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. Strong programming and data analysis skills in Python and PyTorch; solid software engineering habits (git, testing, reproducibility). Demonstrated research independence with one or more first-author
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) be detail-oriented with programming experience in statistical software such as Stata, R, Matlab, or Python; (ii) have a strong quantitative background; (iii) be able to work independently to solve
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relationship to the environment, and mentoring in the Yale’s non-degree online environmental data science certificate program, https://environment.yale.edu/certificates/data (Link is external
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R, Python, or related languages is a plus Environment and Training The Alagpulinsa Lab provides a highly supportive and intellectually rigorous environment emphasizing: Scientific independence and
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transdiagnostic clinical cohort. https://impact-mh.org/awardees/impact-mh/ (Link is external) IMPACT-Y is collecting repeated measures from approximately 2,400 individuals across
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programming (e.g. Python, R, JavaScript, Matlab) preferred but not required Compensation The salary for this trainee position is $45,600 per year. Process to Apply Interested applicants should submit the