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complimentary experience in a data-related field such as data analysis and data management. At least 2 years’ experience with biostatistical and epidemiological knowledge for descriptive statistics, data cleaning
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management. At least 2 years’ experience with biostatistical and epidemiological knowledge for descriptive statistics, data cleaning/validation, clinical data quality assurance and outcomes, or research design
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excellence in research in statistical methodology and theory, applied statistics, data science, biostatistics, and machine learning. Its faculty have a strong commitment to providing high quality, innovative
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, to provide professional biostatistical support for biomedical, clinical, and population health research. An ideal candidate would be skilled in managing and merging multiple data sources while maintaining
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professional biostatistical support for biomedical, clinical, and population health research. An ideal candidate would be able to independently devise statistical analysis plans for retrospective and prospective
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campus, to provide professional biostatistical support for biomedical, clinical, and population health research. The candidate will independently devise statistical analysis plans for retrospective and
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doctoral degree) in statistics, biostatistics, economics, education, epidemiology, human development, psychology, sociology, political science, or a closely related quantitative area, with strong
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their research study core resources (e.g., biostatistics and epidemiology support) bioinformatics/Big Data development and support, and faculty/fellow development programs create models for faculty and trainee