Associate/Full Professor — Biomedical Informatics & AI

musc

Town of Charleston (NY)

On-site

USD 150,000 - 210,000

Full time

6 days ago
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Job summary

Medical University of South Carolina (MUSC) invites applications for a full-time Associate or Full Professor in Biomedical Informatics. The role seeks leaders advancing clinical informatics and learning health systems through AI and health data.

Qualified candidates will demonstrate research productivity, potential for major grants, and a strong commitment to teaching and collaboration across disciplines. Faculty rank and track will be determined by qualifications and achievements.

Qualifications

  • PhD, MD, or equivalent in biomedical informatics, computer science, or data science.
  • Demonstrated research productivity and extramural funding potential.
  • Commitment to excellence in teaching and collaboration.

Responsibilities

  • Provide scientific leadership in clinical informatics, learning health systems, healthcare AI, or related domains.
  • Develop and sustain a nationally recognized, externally funded research program.
  • Collaborate with health system partners to design and evaluate data-driven innovations.
  • Lead multidisciplinary teams leveraging real-world data to address clinical and public health challenges.
  • Mentor faculty, fellows, and students in informatics and data science.
  • Contribute to education across graduate and professional programs.
  • Foster collaborations to expand impact of biomedical informatics and AI.

Skills

Clinical Informatics
Learning Health Systems
AI in Healthcare
Data Science

Education

PhD/MD or equivalent

Job description

Medical University of South Carolina (MUSC) invites applications for a full-time Associate or Full Professor in Biomedical Informatics. The role seeks leaders advancing clinical informatics and learning health systems through AI and health data.

Qualified candidates will demonstrate research productivity, potential for major grants, and a strong commitment to teaching and collaboration across disciplines. Faculty rank and track will be determined by qualifications and achievements.

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