Biomedical Informatics & AI Leader (Assoc/Full Prof)

Medical University of South Carolina (MUSC); Charleston (SC); On-site; USD 140,000 - 230,000; Full time

Benefits offered by this job

Competitive start-up package

Access to core facilities

Faculty mentorship & collaboration

Job summary

The Division of Biomedical Informatics and AI at the Medical University of South Carolina (MUSC) invites applications for a full-time, tenure-track or non-tenure track Associate or Full Professor in Biomedical Informatics. The position seeks leaders to advance clinical informatics, learning health systems, and AI-driven healthcare through data and digital technologies.

Candidates with expertise in clinical informatics, real-world data, implementation science, and related areas are encouraged to

Qualifications

• PhD, MD, or equivalent degree in biomedical informatics, computer science, data science, or a related field.
• Demonstrated research productivity, current extramural grant funding, and potential for securing future independent research funding.
• Commitment to excellence in teaching, mentoring, and interdisciplinary collaboration.

Responsibilities

• Provide scientific leadership in clinical informatics, learning health systems, healthcare AI, or related biomedical informatics domains.
• Develop and sustain a nationally recognized, externally funded research program advancing healthcare delivery, patient outcomes, population health, or biomedical discovery through informatics and AI.
• Collaborate with MUSC Health, academic departments, research centers, and health system leaders to design, implement, and evaluate data-driven innovations that improve care and support continuous learning within the health system.
• Lead multidisciplinary teams leveraging EHR, clinical, operational, and other real-world data sources to address important clinical and public health challenges.
• Mentor faculty, fellows, postdoctoral scholars, graduate students, and trainees in informatics and data science.
• Contribute to biomedical informatics, data science, and AI education across graduate, professional, and continuing education programs.
• Foster collaborations across MUSC and external partners to expand the impact of biomedical informatics and AI on research, education, and healthcare transformation.
• Contribute to strategic initiatives within the Division of Biomedical Informatics and AI and support the growth of MUSC's informatics and AI ecosystem.

Education

PhD / MD or equivalent in biomedical informatics or related field

Demonstrated research productivity and extramural funding

Commitment to teaching and interdisciplinary collaboration

Job description

The Division of Biomedical Informatics and AI at the Medical University of South Carolina (MUSC) invites applications for a full-time, tenure-track or non-tenure track Associate or Full Professor in Biomedical Informatics. The position seeks leaders to advance clinical informatics, learning health systems, and AI-driven healthcare through data and digital technologies.

Candidates with expertise in clinical informatics, real-world data, implementation science, and related areas are encouraged to