Areas of interest include, but are not limited to, the analysis of electronic health record (EHR)-linked biobanks, human genetics and genomics, statistical genetics, genetic epidemiology, genome-wide and phenome-wide association studies (GWAS/PheWAS), pharmacogenomics, genomic medicine, and the development and application of artificial intelligence (AI) and machine learning (ML) methods for genomic and clinical data. The Division of Biomedical Informatics and AI in the Department of Public Health Sciences at the Medical University of South Carolina (MUSC) College of Medicine invites applications for a full-time, tenure-track or non-tenure track Assistant Professor position in Translational Bioinformatics.