UNIV - Research Assistant Professor - Department of PHS
About The Position
The Division of Biomedical Informatics and AI in the Department of Public Health Sciences at the Medical University of South Carolina is seeking a research-track Assistant Professor to serve as a methodological researcher in biomedical informatics, artificial intelligence, and applications in the biomedical domain. The position is expected to maintain an extramurally funded research program and teach in the department’s graduate programs, while contributing expertise to related research cores, including machine learning analysis of health data and AI-assisted medical evidence synthesis. The division is a growing unit focused on advancing data-driven health research and education. MUSC is an academic medical center located in Charleston, South Carolina, with programs in biomedical research, informatics, and health innovation. Applicants should submit a curriculum vitae, research and teaching philosophy statement, and contact information for at least three professional references, and also apply through the MUSC job site.
Requirements
- PhD in Biomedical Informatics, Computer Science, Biostatistics, Bioinformatics, or another relevant area; alternatively, an MD degree with appropriate technical education and experience.
- Proven track record of teaching at the graduate or doctorate level.
- Research experience in biomedical informatics and AI technologies in at least one relevant area, such as data science, machine learning, artificial intelligence, or multivariate analysis applied to biomedical data; quantitative or AI research using electronic health records; applications of large language models to biomedical research, literature curation, or knowledge extraction; or another biomedical informatics research area.
- Strong communication skills.
Nice To Haves
- Postdoctoral fellowship training in biomedical informatics.
- Research experience with a strong record of publications and extramural funding.
- Participation in leading medical informatics conferences, such as AMIA, and related working groups.
Responsibilities
- Maintain an extramurally funded research program.
- Teach in the Department of Public Health Sciences graduate programs.
- Contribute expertise to related research cores, such as machine learning analysis of health data and AI-assisted medical evidence synthesis.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Ph.D. or professional degree
