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out relevant data sources, and proposing action based on findings. You will use R and Python to perform in-depth analysis and create accessible visualizations, and your work will be highly visible
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., R and/or Stata). Technical Skills or Knowledge: Experience in data analysis. Strong quantitative skills. Ability to manage multiple projects simultaneously and meet tight deadlines. Preferred
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the research projects of Thomas Miles, Clifton R. Musser Professor of Law and Economics. This part-time, temporary position is intended to last for up to one year, although this can be extended by
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lead a team of data analysts in conducting complex data analyses to support the enhancement of child welfare systems. Utilizing your expertise in data manipulation and visualization with R, Python, and
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., Python/R, version control, HPC/cloud). Experience assisting in training/mentorship/grant writing. Supervisory experience. Preferred Competencies Knowledge and experience of deep learning and regulatory
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programming languages such as STATA, R, and Python. Create reproducible, well-documented projects and manage advanced codebases. Preferred Competencies Handle multiple projects simultaneously. Work
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statistical software (e.g., R, SAS, or Stata) and data management tools. Familiarity with working with large clinical datasets or national registries (e.g., NSQIP). Strong understanding of clinical research
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, Matlab, Python, R, or related software. Knowledge of research techniques or methods. Preferred Competencies Strong interest in attending graduate school. Strong GPA. Analytical and strong problem-solving
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Junior Research Assistant who will analyze large-scale biological data sets and help create open-source R and Python software to support our lab’s methodological research. Working closely with Professor
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. Experience: Significant research experience in a university setting is strongly preferred. Programming with Stata and/or R, as well as software such as Matlab or SAS. Programming in Python. Familiarity with