Lead, Biomedical Informatics & AI — Learning Health Systems

Medical University of South Carolina; Town of Charleston (NY); On-site; USD 140,000 - 190,000; Full time

Job summary

The Medical University of South Carolina (MUSC) invites applications for a full-time faculty position in Biomedical Informatics at the Associate or Full Professor level. The role emphasizes leadership in clinical informatics, learning health systems, and AI-driven healthcare improvements.

Applicants should have a PhD, MD, or equivalent, with a record of scholarly achievement and potential for external funding.

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 that advances 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 degree in biomedical informatics, computer science, data science, or a related field

Job description

The Medical University of South Carolina (MUSC) invites applications for a full-time faculty position in Biomedical Informatics at the Associate or Full Professor level. The role emphasizes leadership in clinical informatics, learning health systems, and AI-driven healthcare improvements.

Applicants should have a PhD, MD, or equivalent, with a record of scholarly achievement and potential for external funding.