UNIV - Research Associate Professor - Department of PHS
About The Position
The Department of Public Health Sciences (DPHS) within the College of Medicine at the Medical University of South Carolina invites applications for a part-time Associate Professor of Biostatistics (temporary - research track). DPHS seeks a talented biostatistician who is passionate about building collaborations with basic, translational, and/or clinical scientists. The successful candidate will have a prior track record of collaborative activities and excellent written and oral communication skills. The position FTE will be dependent on secured funding. DPHS is home to a talented and diverse faculty with appointments in a range of public health specialties including Biostatistics and Bioinformatics, Biomedical Informatics and Data Science, Social and Behavioral Sciences, Epidemiology, and Health Services Research. The department has two successful and long-standing masters and doctoral degree programs in biostatistics and epidemiology, and offers three MPH degrees in biostatistics, epidemiology, and health behavior and health promotion. The department also has a joint doctoral training program with Clemson University in Biomedical Data Science & Informatics. Founded in 1824, the Medical University of South Carolina is the state’s largest medical complex, has the state’s only National Cancer Institute-designated cancer center, and is the largest employer in the metropolitan Charleston area. MUSC ranks in the top quartile of domestic educational institutions in funding for research and is home to a Clinical and Translational Science Award. MUSC is located in Charleston, SC which a vibrant and diverse community renowned for its music, arts and culinary scene, with ample opportunities for coastal outdoor activities.
Requirements
- Hold a PhD in biostatistics, statistics, health economics or related field
- Prior track record of collaborative activities
- Excellent written and oral communication skills
- Expertise and training in measurement scale evaluation, large EHR Data, structural equation modeling, and Veterans Health Data
- Experience using Strata and SAS
- Experience building cohorts from EHR data
Responsibilities
- Building collaborations with basic, translational, and/or clinical scientists
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What This Job Offers
Job Type
Part-time
Career Level
Senior
Education Level
Ph.D. or professional degree
Number of Employees
501-1,000 employees
