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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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. 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
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., SAS, R, or Python). Significant coursework or experience in programming. Preferred Competencies Strong interest in understanding poverty and issues affecting vulnerable populations. Proven ability
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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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in R, STATA, Python, or a related software. Preferred Competencies Meet government background clearance in order to access job-specific data; US citizenship is just one criterion for the job-specific
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this requirement. Technical Skills or Knowledge: Demonstrated proficiency in R, STATA, Python, or a related software. Preferred Competencies Outstanding verbal, written, and presentation skills, as
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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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, 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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, Pandas, SciPy, Scikit-Learn, MatplotLib, Seaborn, geopy, NLTK. Experience with one or more high-level programming languages such as C/C++, Matlab, or R. Experience with Git and in general with version