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for causal inference using software such as R, Python, or Stata; (30%) Assist in preparation of research outputs, including figures, tables, reports, and academic manuscripts; support replication and
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environments. Develop, test, and maintain robust codebases (e.g., Python, SQL) for ongoing analytical tasks, implement version control, and comprehensively document architectural decisions and data extraction
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, and data visualization solutions. Experience using statistical software such as SAS (preferred), Stata, R, or Python. Familiarity with National Student Clearinghouse reporting processes and external
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Position Description An Associate in Research position is available in the Interpretable Machine Learning Lab (https://users.cs.duke.edu/~cynthia/home.html ) for a scientific developer to work in
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to support data analysis and research activities. Proficiency with R and/or Python and other statistical or data visualization platforms. Other Requirements Strong knowledge of R and SAS programming and
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Senior Policy Analyst, Duke Margolis Institute for Health Policy Hybrid (Washington DC or Durham NC)
analysis tools (e.g., Excel, R, Stata, SAS, or Python) to clean, analyze, and visualize data. Strong research and writing experience with excellent skills in both areas. Policy research skills, including
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, or Python) to clean, analyze, and visualize data. Strong written communication skills and the ability to transform complicated information into easy-to-understand materials. Ability to interact professionally
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. Proficiency or familiarity with data analysis tools (e.g., Excel, R, Stata, SAS, or Python) to clean, analyze, and visualize data. Excellent research and writing skills. Proven competence in leading research
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Questionnaires, Body Weights). · Data analysis and visualization skills (Power BI, Excel, R, Python, etc.). · Previous interdisciplinary work and communication within a comprehensive high-performance environment
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of social science research OR AN EQUIVALENT COMBINATION OF RELEVANT EDUCATION AND/OR EXPERIENCE. Preferred skills Demonstrated skills with quantitative data analysis using R and/or Python Demonstrated