Biomedical AI Researcher - Assistant Professor Track

MUSC Health; Charleston (SC); Vor Ort; USD 90.000 - 150.000; Vollzeit

Zusammenfassung

Medical University of South Carolina (MUSC) in Charleston invites applications for a research-track Assistant Professor to advance methodological research in biomedical informatics and AI. The role includes leading funded research and teaching graduate programs while collaborating with AI and health data cores.

Ideal candidates have a strong publication record, experience with EHR data, and a track record of securing extramural support; excellent communication is essential.

Qualifikationen

• PhD in Biomedical Informatics or related field; MD with appropriate technical training acceptable.
• Proven track record of teaching at graduate or doctoral level.
• Strong publication record with extramural funding desired and AMIA participation encouraged.
• Experience in data science, machine learning, and AI applied to biomedical data.
• Experience with electronic health records data in AI research (Epic Cosmos, All of Us, etc.).
• Excellent communication skills.

Aufgaben

• Maintain an extramurally funded research program.
• Teach in the DPHS graduate programs and contribute to related research cores.
• Apply machine learning and AI methods to biomedical data; mentor students.

Kenntnisse

Machine learning

Data analysis

Communication

Ausbildung

PhD in Biomedical Informatics

Tools

Epic Cosmos

All of Us

e-phenotyping

Jobbeschreibung

Medical University of South Carolina (MUSC) in Charleston invites applications for a research-track Assistant Professor to advance methodological research in biomedical informatics and AI. The role includes leading funded research and teaching graduate programs while collaborating with AI and health data cores.

Ideal candidates have a strong publication record, experience with EHR data, and a track record of securing extramural support; excellent communication is essential.