UNIV - Assistant Professor, Division of Biomedical Informatics and AI - Department of PHS

Key Responsibilities: Develop and maintain an independent, nationally recognized, externally funded research program in translational bioinformatics, human genetics, genomics, precision medicine, and/or AI-enabled biomedical discovery. Conduct innovative research leveraging EHR-linked biobanks and large-scale genomic and clinical datasets to investigate disease risk, therapeutic response, and health outcomes. Develop and apply advanced statistical, computational, and AI/ML methods for the analysis of genomic, sequencing, phenotypic, and health-related data. Lead and collaborate on studies involving GWAS, PheWAS, fine-mapping, polygenic risk modeling, pharmacogenomics, genetic epidemiology, genomic medicine, and related areas. Collaborate with investigators across MUSC, including clinical, translational, biomedical, public health, and data science researchers, to advance interdisciplinary research initiatives. Contribute to institutional efforts supporting precision medicine, biobank science, genomics, and AI-driven healthcare innovation. Teach and mentor students, fellows, and trainees in biomedical informatics, data science, genetics, genomics, and related graduate education programs. Participate in the training and mentoring of the next generation of researchers through interdisciplinary research, educational, and workforce development initiatives. Contribute to service activities within the Division, Department, College, University, and the broader scientific community.

Qualifications: PhD, MD, MD/PhD, or equivalent degree in biomedical informatics, computational biology, genetics/genomics, biostatistics, computer science, genetic epidemiology, or a related field. Demonstrated expertise in large-scale human genetic and genomic analyses, including GWAS, PheWAS, sequencing studies, and/or pharmacogenomics. Experience working with EHR-linked biobanks and real-world clinical data. Evidence of developing or applying AI/ML methods to genomic, sequencing, multimodal, or healthcare data. Demonstrated research productivity and potential for securing independent funding. Commitment to excellence in teaching, mentoring, and interdisciplinary collaboration. Start-Up and Support: Successful candidates will receive a competitive start-up package, including dedicated research space, access to core facilities, and administrative support for grant development. MUSC is committed to fostering faculty development through mentorship, interdisciplinary collaboration, and integration with clinical and translational research initiatives. About the Division of Biomedical Informatics and AI:Located within the Department of Public Health Sciences, the Division of Biomedical Informatics and AI is a dynamic and growing unit at MUSC focused on advancing data-driven health research and education. MUSC is a premier academic medical center located in Charleston, SC, with nationally recognized programs in biomedical research, informatics, and health innovation.