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policy, economics, statistics, or a related quantitative field Additional Qualifications Strong skills in Stata, R and/or Python and experience analyzing complex data Demonstrated experience working with
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, Python, and SAS or Stata) • Demonstrated expertise in causal inference and high-dimensional risk adjustment/predictive modeling, experience with Medicare claims data • Clear scientific writing and
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Additional Qualifications Strong confidence with and/or facility to learn Matlab or Python-level programming Strong interest and experience in systems neuroscience, electrophysiology, or primate behavior
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. Programming: Strong scripting skills, typically in Python or Go, for automation and building operational tools. MLOps Tools: Familiarity with MLOps platforms and tools (e.g., MLflow, Kubeflow, Data Version
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. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines . With this appointment, you are
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technical discipline desired Minimum of five years’ software development experience with Python and SQL. Minimum of three years’ experience building pipelines to deploy NLP and deep learning models
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are seeking a highly motivated Bioinformaticist with knowledge in computational image analysis and proficiency in Python. In this position, you will be supervised by our image analysis expert and will work
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, or Python); Creating and managing very large datasets; Managing and mentoring research assistants (RAs); Machine learning skills; Writing papers for management and economics journals; Interest in reskilling
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initiatives. Provide after-hours support as needed to maintain system availability and business continuity. Abide by and follow the Harvard University IT Code of Conduct (https://huit.harvard.edu/it
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complete complex data processing and analyses on this large and complex dataset. The ideal candidate has strong expertise in Python and is comfortable working with ambiguous, big and messy data streams