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

Job Description Summary

The Division of Biomedical Informatics and AI in the Department of Public Health Sciences at the Medical University of South Carolina (MUSC) College of Medicine invites applications for a full-time, tenure-track or non-tenure track Associate or Full Professor faculty position in Biomedical Informatics. We seek nationally recognized leaders whose research advances the science and practice of clinical informatics and learning health systems through the innovative use of health data, digital technologies, and artificial intelligence.

Candidates with expertise in clinical informatics, learning health systems, healthcare AI, implementation science, clinical decision support, health outcomes research, real-world data, healthcare delivery innovation, and related areas are particularly encouraged to apply. We also welcome applications from outstanding investigators across the broad spectrum of biomedical informatics, including translational bioinformatics, clinical research informatics, public health informatics, consumer health informatics, and other emerging areas of data-intensive biomedical science. Faculty rank and track will be determined based on qualifications, experience, and scholarly accomplishments.

Entity

Medical University of South Carolina (MUSC - Univ)

Worker Type

Employee

Worker Sub-Type

Faculty

Cost Center

CC001035 COM PHS Administration CC

Pay Rate Type

Salary

Pay Grade

University-00

Pay Range

0.00 - 0.00 - 0.000

Scheduled Weekly Hours

40

Work Shift

Job Description

Job Description:

The Division of Biomedical Informatics and AI in the Department of Public Health Sciences at the Medical University of South Carolina (MUSC) College of Medicine invites applications for a full-time, tenure-track or non-tenure track Associate or Full Professor faculty position in Biomedical Informatics. We seek nationally recognized leaders whose research advances the science and practice of clinical informatics and learning health systems through the innovative use of health data, digital technologies, and artificial intelligence.

Candidates with expertise in clinical informatics, learning health systems, healthcare AI, implementation science, clinical decision support, health outcomes research, real-world data, healthcare delivery innovation, and related areas are particularly encouraged to apply. We also welcome applications from outstanding investigators across the broad spectrum of biomedical informatics, including translational bioinformatics, clinical research informatics, public health informatics, consumer health informatics, and other emerging areas of data-intensive biomedical science. Faculty rank and track will be determined based on qualifications, experience, and scholarly accomplishments.

Key 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.

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.

Preferred Research Areas

Primary Areas of Interest

• Clinical Informatics and Learning Health Systems
• Artificial Intelligence and Machine Learning for Healthcare
• Clinical Decision Support and AI-Augmented Clinical Workflows
• Real-World Data, Real-World Evidence, and Healthcare Analytics
• Digital Health, Implementation Science, and Health System Transformation
• Health Outcomes Research and Quality Improvement Informatics

Additional Areas of Interest

• Clinical Research Informatics
• Translational Bioinformatics
• Public Health Informatics
• Consumer Health Informatics and Digital Health Technologies
• Biomedical Informatics Methods Development and Applications

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.

Additional Job Description

Physical Requirements: (Note: The following descriptions are applicable to this section: Continuous - 6-8 hours per shift; Frequent - 2-6 hours per shift; Infrequent - 0-2 hours per shift) Ability to perform job functions in an upright position. (Frequent) Ability to perform job functions in a seated position. (Frequent) Ability to perform job functions while walking/mobile. (Frequent) Ability to work indoors. (Continuous) Ability to work outdoors in all weather and temperature extremes. (Infrequent) Ability to work in confined/cramped spaces. (Infrequent) Ability to perform job functions from kneeling positions. (Infrequent) Ability to squat and perform job functions. (Infrequent) Ability to perform "pinching" operations. (Infrequent) Ability to fully use both hands/arms. (Frequent) Ability to perform repetitive motions with hands/wrists/elbows and shoulders. (Frequent) Ability to reach in all directions. (Frequent) Possess good finger dexterity. (Continuous) Ability to maintain tactile sensory functions. (Continuous) Ability to lift and carry 15 lbs., unassisted. (Infrequent) Ability to lift objects, up to 15 lbs., from floor level to height of 36 inches, unassisted. (Infrequent) Ability to lower objects, up to 15 lbs., from height of 36 inches to floor level, unassisted. (Infrequent) Ability to push/pull objects, up to 15 lbs., unassisted. (Infrequent) Ability to maintain 20/40 vision, corrected, in one eye or with both eyes. (Continuous) Ability to see and recognize objects close at hand. (Frequent) Ability to see and recognize objects at a distance. (Frequent) Ability to determine distance/relationship between objects; depth perception. (Continuous) Good peripheral vision capabilities. (Continuous) Ability to maintain hearing acuity, with correction. (Continuous) Ability to perform gross motor functions with frequent fine motor movements. (Frequent)

If you like working with energetic enthusiastic individuals, you will enjoy your career with us!

The Medical University of South Carolina is an Equal Opportunity Employer. MUSC does not discriminate on the basis of race, color, religion or belief, age, sex, national origin, gender identity, sexual orientation, disability, protected veteran status, family or parental status, or any other status protected by state laws and/or federal regulations. All qualified applicants are encouraged to apply and will receive consideration for employment based upon applicable qualifications, merit and business need.

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