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of large medical datasets using R and Python, attending and documenting collaborative meetings, developing and implementing forecasting model for medical conditions. The role will be required to maintain a
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R and other programming languages to extract insights from large datasets. You will need to have experience in data analysis and the ability to effectively communicate findings to non-technical
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, R, sqlite3). Preferred Competencies Analytical skills. Problem-solving skills. Attention to detail. Organizational skills. Verbal and written communication skills. Work independently and as part of a
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: Proficiency with R, Python, or Stata. Work with large and complex datasets. Apply machine learning algorithms in operational environments. Proficient with GitHub. Worki on field experiments / randomized
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). Experience in coding and statistical programs (R, Python, Java, SPSS, STATA, etc.). Interviewing and conducting experimental sessions in behavioral research. Preferred Competencies Excellent professional and
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, statistics, and metrics background. Experience: Programming experience with Stata, as well as statistical packages such as R. Programming experience in Python and familiarity with programming languages such as
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Department Library R & L - SCRC - Rare Books About the Department Widely known as guardian of one of the largest academic library collections in North America, the University of Chicago Library is
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or similar software). Technical Skills or Knowledge: Proficiency in data manipulation using R, STATA, or Python. Knowledge of statistical methods, research design, causal inference, and econometrics, and their
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data for input into workflows using R, Matlab, Phython. Assist in data collection. Computational analysis using MATLAB, Python, or other computer languages. Written reports and manuscript preparation
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standards. Hands-on experience with data science tools and technologies, such as Python, R, SQL, Hadoop, Spark, TensorFlow, etc. Strong experience with data governance, data quality, and regulatory compliance