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extensive experience with programming languages and statistical software packages, such as R or SAS. The Postdoctoral Associate position will require excellent interpersonal skills to facilitate effective
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experience in blockchain technology (preferably Ethereum) and/or machine learning. Solid foundation in computer network and/or data analysis. Strong programming skills, preferably in Java. Ability to work
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a related discipline. Strong programming skills in Python, R, or similar languages. Experience working with large biological datasets. Familiarity with Linux-based computing environments and high
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related field Strong programming skills (R and Python required; PyTorch/JAX/TensorFlow preferred) Demonstrated track record of first-author publication(s) Preferred: Experience with single-cell or
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position as well. Prior experience with lab-based research and/or programming and data analysis is desired. However, candidates with other backgrounds will also be considered. Location: The
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as those with research interests relevant to perinatal or pharmacoepidemiology, are preferred. The position will require extensive experience with programming languages and statistical software
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cohort, registry, biobank, or omics datasets. Strong programming skills in R, SAS, Stata, or Python. Familiarity with survival analysis, longitudinal data analysis, multivariable regression, and/or
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with mammalian cell culture and/or tissue-derived organoids Experience working with murine or other animal models Computational proficiency in R, Python, or related programming languages Excellent
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, evolutionary biology, computational biology, or a related field. Experience with the Python programming language and the command line interface is required. Experience with one or more of the following
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take an active role in Archaia programming while pursuing research in their own area of expertise. Additionally, the associate’s duties include: (1) participating in the Archaia Steering Committee