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: Undergraduate degree in a health-related field. Technical Skills or Knowledge: Knowledge of Microsoft Office. Experience with data management and statistical programs (i.e. R). Preferred Competencies Knowledge in
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programming languages such as R, Python, and/or SQL. Strong attention to detail, highly organized, timely, and responsive. Excellent interpersonal, written, and verbal communication skills. Experience leading
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raw 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
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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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. Technical Skills or Knowledge: At least two years of experience developing applications in Python, R, Matlab, C# and .NET, preferably within enterprise or academic contexts. Hands-on experience training, fine
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: Programming skills in Python or other languages commonly used for statistical programming, including R. Demonstrated interest or experience in machine learning frameworks and libraries, such as PyTorch
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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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, 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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Gottlieb and colleagues. The Research Professional will be involved in all stages of ongoing and new research projects. Responsibilities Write programs in Stata, R or Python to analyze large datasets
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reconciliations. This position will focus on monthly balance sheet reconciliations including accounts receivable (A/R), accounts payable (A/P), and cash for all three Press divisions (Books, Journals, and the