All applicants must have an earned doctoral degree by the start date of employment in biostatistics, statistics, computer science, bioinformatics, or a related field. Applicants at the rank of Assistant Professor must also have demonstrated evidence of high- quality scholarly research in the development of statistical methods, and expertise in using data from electronic health records, brain imaging, clinical trials, or large- scale -omics studies (e.g., genomics, proteomics, metabolomics), the potential to successfully compete for external research funding, teach graduate-level courses, and collaborate with public health and/or biomedical researchers. Applicants at the rank of associate or full professor must be accomplished scholars with years of experience in research, teaching, and service commensurate with academic policy and: 1) a substantial publication record in top-tier journals, 2) a record of securing research grants from national and international funding agencies, 3) a history of successful graduate student supervision, and 4) the leadership skills necessary to mentor junior faculty and students, contribute to curriculum development, and engage in interdisciplinary collaboration across the university. The successful candidate will contribute to the Department’s mission of research and training by maintaining an active methodological research program, collaborating with multidisciplinary research teams, mentoring graduate students, and teaching graduate-level biostatistics courses to biostatistics and public health students.

The Department of Epidemiology and Biostatistics is home to 33 full-time faculty members,11 in the Biostatistics Division and 22 in the Epidemiology Division. The faculty’s robust research portfolio includes funding from a broad spectrum of federal agencies (e.g., NIH and CDC) and non-profit organizations. The department has a rich tradition of producing outstanding trainees. Currently 112 students are enrolled in our master’s and doctoral degree programs. The department, school, and university provide a strong collaborative environment for cross- disciplinary team science across the public health research continuum. More information about ASPH and the department can be found at www.sph.sc.edu. The Big Data Health Science Center (BDHSC) serves as a campus-wide interdisciplinary enterprise that conducts leading-edge research and discovery, offers professional development and academic training, and provides service to the community and industry. The BDHSC, led by Drs. Xiaoming Li and Bankole Olatosi, consists of five content cores (AI for Sensing and Diagnosis Core, Electronic Health Records Core, Genomics Core, Geospatial Core, and Social Media Core) and two functional hubs (Technology Hub and Business/Entrepreneurship Hub) that aim to collectively promote the utilization of Big Data analytics in health research, services improvement, and academic training. BDHSC currently has engaged 50 faculty from 19 departments throughout USC in data science research and training. More information about BDHSC can be found at https://bigdata.sc.edu/

The University of South Carolina does not discriminate in educational or employment opportunities or decisions for qualified persons on the basis of age, ancestry, citizenship status, color, disability, ethnicity, familial status, gender (including transgender), gender identity or expression, genetic information, HIV/AIDs status, military status, national origin, pregnancy (false pregnancy, termination of pregnancy, childbirth, recovery therefrom or related medical conditions, breastfeeding), race, religion (including religious dress and grooming practices), sex, sexual orientation, veteran status, or any other bases under federal, state, local law, or regulations.

USC offers a robust benefits package described at: http://www.sc.edu/about/offices_and_divisions /human_resources/benefits/index.php