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Research Assistant Professor
Company Information
The Department of Epidemiology and Biostatistics (DEB) in the Arnold School of Public Health (ASPH) (www.sph.sc.edu) at the University of South Carolina (USC) invites applications for a Faculty Fellow at the rank of Research Assistant Professor to join USC’s Bridge to Faculty program. Bridge to Faculty is a program designed to recruit talented early-career scholars as Faculty Fellows at the rank of Research Assistant Professor with the goal of transitioning them to tenure-track faculty members after two years. Bridge to Faculty aims to attract and retain promising scholars with an emphasis on underrepresented early-career scholars.
The Department of Epidemiology and Biostatistics (DEB) in the Arnold School of Public Health (ASPH) (www.sph.sc.edu) at the University of South Carolina (USC) invites applications for a Faculty Fellow at the rank of Research Assistant Professor to join USC’s Bridge to Faculty program. Bridge to Faculty is a program designed to recruit talented early-career scholars as Faculty Fellows at the rank of Research Assistant Professor with the goal of transitioning them to tenure-track faculty members after two years. Bridge to Faculty aims to attract and retain promising scholars with an emphasis on underrepresented early-career scholars.
We invite applications from outstanding scholars whose work contributes to, advances, or expands the boundaries of epidemiology or biostatistics and will have completed a doctoral degree (e.g., PhD, ScD, DrPH) in epidemiology or biostatistics or related disciplines between July 1, 2019, and July 1, 2024. Candidates should demonstrate evidence of potential for high-quality scholarly research and the potential for excellence in teaching and competing for external research funding. Candidates with research expertise from all areas of epidemiology and biostatistics will be considered. Examples of epidemiology faculty expertise are infectious disease epidemiology, genetic epidemiology, epidemiology of aging, perinatal epidemiology, cancer epidemiology, social epidemiology, nutritional epidemiology, and epidemiology of cardiometabolic outcomes. Examples of biostatistics faculty expertise are multivariate analysis, high-dimensional data analysis, multilevel modeling, network analysis, Bayesian modeling and survival analysis, genetics, brain imaging, functional data analysis, longitudinal data analysis, and precision medicine.
The Department of Epidemiology and Biostatistics (DEB) in the Arnold School of Public Health (ASPH) (www.sph.sc.edu) at the University of South Carolina (USC) invites applications for a Faculty Fellow at the rank of Research Assistant Professor to join USC’s Bridge to Faculty program. Bridge to Faculty is a program designed to recruit talented early-career scholars as Faculty Fellows at the rank of Research Assistant Professor with the goal of transitioning them to tenure-track faculty members after two years. Bridge to Faculty aims to attract and retain promising scholars with an emphasis on underrepresented early-career scholars.
We invite applications from outstanding scholars whose work contributes to, advances, or expands the boundaries of epidemiology or biostatistics and will have completed a doctoral degree (e.g., PhD, ScD, DrPH) in epidemiology or biostatistics or related disciplines between July 1, 2019, and July 1, 2024. Candidates should demonstrate evidence of potential for high-quality scholarly research and the potential for excellence in teaching and competing for external research funding. Candidates with research expertise from all areas of epidemiology and biostatistics will be considered. Examples of epidemiology faculty expertise are infectious disease epidemiology, genetic epidemiology, epidemiology of aging, perinatal epidemiology, cancer epidemiology, social epidemiology, nutritional epidemiology, and epidemiology of cardiometabolic outcomes. Examples of biostatistics faculty expertise are multivariate analysis, high-dimensional data analysis, multilevel modeling, network analysis, Bayesian modeling and survival analysis, genetics, brain imaging, functional data analysis, longitudinal data analysis, and precision medicine.