Director of the Center for Artificial Intelligence

Charleston, United States

Medical University of South Carolina

The Medical University of South Carolina (MUSC) aims to empower the state and beyond through innovative research, education, and commitment to patient care.

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Job Description Summary

As Director of the Center for AI, the successful candidate will report to the Executive Vice President for Academic Affairs and Provost for MUSC and the Chief Physician Executive of MUSC Health. They will facilitate the translation of AI-enabled discoveries into practice, leading to real-world results and improved patient outcomes. As Center Director, hey will closely partner with MUSC's Information Solutions team to leverage MUSC's robust data infrastructure and mature research data governance to ensure that investigators have access to data, AI tools, computational infrastructure, and expertise to curate the data across domain-specific repositories. The Center Director will also lead interdisciplinary education and training opportunities that enable collaboration among clinicians, scientists, and trainees.

As Division Director of the AI & Biomedical Informatics Division, the successful candidate will build and lead a top-tier research and training program that leverages AI to enhance clinical care, expedite drug discovery, deliver more personalized care, support population health, and promote responsible AI. As Division Director, they will recruit and retain faculty to support an academic initiative focused on developing AI methods, data integration, and multimodal data, resulting in significant insights into health and disease.

In both roles, the Director will support and foster relationships with industry to achieve common goals.

Entity

Medical University of South Carolina (MUSC - Univ)

Worker Type

Employee

Worker Sub-Type​

Faculty

Cost Center

CC005532 EVPAA - Center for Artificial Intelligence

Pay Rate Type

Salary

Pay Grade

University-00


Pay Range

0.00 - 0.00 - 0.000

Scheduled Weekly Hours

40

Work Shift

Job Description

As Director of the Center for AI, the successful candidate will report to the Executive Vice President for Academic Affairs and Provost for MUSC and the Chief Physician Executive of MUSC Health. They will facilitate the translation of AI-enabled discoveries into practice, leading to real-world results and improved patient outcomes. As Center Director, hey will closely partner with MUSC's Information Solutions team to leverage MUSC's robust data infrastructure and mature research data governance to ensure that investigators have access to data, AI tools, computational infrastructure, and expertise to curate the data across domain-specific repositories. The Center Director will also lead interdisciplinary education and training opportunities that enable collaboration among clinicians, scientists, and trainees.

As Division Director of the AI & Biomedical Informatics Division, the successful candidate will build and lead a top-tier research and training program that leverages AI to enhance clinical care, expedite drug discovery, deliver more personalized care, support population health, and promote responsible AI. As Division Director, they will recruit and retain faculty to support an academic initiative focused on developing AI methods, data integration, and multimodal data, resulting in significant insights into health and disease.

In both roles, the Director will support and foster relationships with industry to achieve common goals.

Key Responsibilities
  • Leadership and Strategy: Develop and execute a strategic vision for the MUSC Center for AI and the Division within the College of Medicine. Foster interdisciplinary collaboration and drive initiatives that enhance the integration of responsible AI in medical research and clinical practice.
  • Recruit, Mentor, and Support: Recruit talented researchers in the field to build a strong research team that will integrate their research with the clinical enterprise.
  • Research and Innovation: Lead and support cutting-edge research in health-related AI. Secure research funding, publish in high-impact journals and present findings at national and international conferences.
  • Data Analytics: Oversee the analysis of large-scale medical data to derive meaningful insights and improve patient outcomes. Implement advanced AI methodologies to address complex healthcare challenges.
  • Collaboration and Outreach: Build partnerships with academic institutions, industry stakeholders, and government agencies. Promote the Center's work through public engagement and professional networks.
  • Mentorship: Mentor students, postdoctoral fellows, and junior faculty members in their research and career development.
Qualifications
  • Academic Credentials: A Ph.D. or equivalent terminal degree in a relevant field such as computer science, medicine, biomedical engineering, or a related discipline is required.
  • Experience: Demonstrated experience in a leadership role within an academic or research institution. A strong background in health-related AI and data analytics is essential.
  • Research Excellence: A distinguished record of research achievements, including peer-reviewed publications, successful grant applications, and a history of impactful discoveries in AI and medicine.
  • Skills: Proficiency in advanced data analytics, machine learning techniques, and AI tools. Strong communication and interpersonal skills to effectively lead and inspire a diverse team.

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.

Medical University of South Carolina participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here: http://www.uscis.gov/e-verify/employees

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Tags: Computer Science Data Analytics Data governance Drug discovery Engineering Machine Learning Research Responsible AI

Perks/benefits: Career development Conferences

Region: North America
Country: United States

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