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cellular neurophysiology or related fields Experience in patch clamp-based electrophysiological recording from native neurons Expertise in programming with Python and R Experience with programming
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degrees include: computer science, software engineering, physics, computational science, or other closely related degree. Proficiency in Python or another advanced programing language, Experience with
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, researchers will manage and manipulate data using requested packages, such as STATA, Python, R, or MATLAB. For behavioral roles, researchers will manage and manipulate data using qualitative research tools
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familiarity with health-related datasets. Additional Qualifications: Proficiency in statistical software (R, Python, etc.), and working knowledge of data management protocols. Experience with exposome
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Additional Qualifications and Skills: 3-5+ years of hands-on experience with time-series data, sensor data, or biomedical/wearable data. Proficiency in one or more programming languages (Python and/or
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salaried and benefits eligible. 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
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presentations and draft sections of research papers Location: Department of Economics, Harvard University, Cambridge, MA Supervisor: Professor Gita Gopinath, website: https://gopinath.scholars.harvard.edu
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., alignment, QC, variant calling from WGS and RNA-seq) similar to those in existing repositories: https://github.com/smaht-dac/main-pipelines . Build reproducible, well-tested, and automated workflows using
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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 analysis of claims data Clear scientific writing and communication, an ability to work both independently and in teams, and a track record of publications