Full-time, open-rank faculty position in biostatistics | United States | University of South Carolina

Position:	Full-time, open-rank faculty position in biostatistics
Institution:	University of South Carolina
Department:	Arnold School of Public Health
Location:	United States
Duties:	The successful candidate will maintain an active methodological research program, engage with cross-disciplinary teams, mentor graduate students, and teach graduate-level biostatistics courses. All areas of biostatistics expertise will be considered, but candidates with research expertise in clinical trials, precision medicine, high-dimensional data analysis, causal inference, bioinformatics/informatics, image analysis, network analysis, statistical computing, and the integration of artificial intelligence in handling multimodal data for classification and risk prediction, with applications to public health and/or medicine, are particularly encouraged to apply
Requirements:	All applicants must hold a doctoral degree in biostatistics, statistics, computer science, bioinformatics, or a related field by their start date. At the assistant professor level (tenure-track), candidates should demonstrate excellence in methodological research and the potential to secure external funding, teach graduate courses, and collaborate with public health and biomedical researchers. At the associate- or full-professor level (tenure-eligible), candidates must also demonstrate an established record of top-tier publications and competitive grants, a proven track record of supervising graduate students, and leadership in curriculum development, junior faculty mentoring, and cross-disciplinary collaboration

Text:	Full-time, open-rank faculty position in biostatistics The successful candidate will maintain an active methodological research program, engage with cross-disciplinary teams, mentor graduate students, and teach graduate-level biostatistics courses. All areas of biostatistics expertise will be considered, but candidates with research expertise in clinical trials, precision medicine, high-dimensional data analysis, causal inference, bioinformatics/informatics, image analysis, network analysis, statistical computing, and the integration of artificial intelligence in handling multimodal data for classification and risk prediction, with applications to public health and/or medicine, are particularly encouraged to apply All applicants must hold a doctoral degree in biostatistics, statistics, computer science, bioinformatics, or a related field by their start date. At the assistant professor level (tenure-track), candidates should demonstrate excellence in methodological research and the potential to secure external funding, teach graduate courses, and collaborate with public health and biomedical researchers. At the associate- or full-professor level (tenure-eligible), candidates must also demonstrate an established record of top-tier publications and competitive grants, a proven track record of supervising graduate students, and leadership in curriculum development, junior faculty mentoring, and cross-disciplinary collaboration