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areas of statistics, data science, and artificial intelligence (AI). The position will focus on developing and applying novel statistical, machine-learning, and AI methods to advance biomedical and
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and data analysis plans. Use advanced programming in SAS and R with statistical expertise to manage and analyze data. Manage large and complex datasets. Perform data management and make clinical trials
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programs to clean data and perform statistical analysis in R, SAS, Stata, and/or Python. Perform statistical analyses using a variety of statistical models and methods, including generalized linear models
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, and data architecture for clinical trials and observational cohorts. Complex Statistical & Data Science Analysis (45%) Conduct advanced statistical analyses across cross-sectional, prospective
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the implementation, evaluation, and application of computational and statistical methods. Responsibilities* Specific responsibilities may include: Processing, organizing, and performing quality control of research
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the scope of their responsibilities. Responsibilities* Manage data, ensuring data quality and cleaning. Analyze data, run mathematical or statistical models, and interpret results. Conduct literature reviews
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BS or MS degree in Kinesiology/Exercise Science/Biomedical Engineering or related field Experience with statistical analysis (SPSS, Stata, R, or MatLab) Modes of Work Positions that are eligible
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statistical tests to solve analytic problems, including using descriptive statistics, linear regression, logistic regression, survival analysis, mixed models w/repeated measures, multi-level modeling
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. The ability to independently select appropriate statistical tests in accordance with project designs and to solve analytic problems, including descriptive analyses (e.g., frequencies, correlations, and cross
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visualization for internal and external stakeholders. Required Qualifications* Bachelor's Degree in a related field (Psychology, sociology, statistics, economics, business, social sciences, etc) and/or