Description
Position Overview:
The Medical University of South Carolina (MUSC) is seeking a highly qualified and experienced individual to serve as the inaugural Director of the MUSC Center for Artificial Intelligence (AI) and the Division Director of a soon to be named AI/biomedical informatics Division in the College of Medicine. This dual role requires a visionary leader with a robust academic background in health-related artificial intelligence, informatics, data analytics, and a proven track record of research and innovation in the field.
As Director of the MUSC Center for AI, the successful candidate will report to the Executive Vice President for Academic Affairs and Provost and to the Chief Physician Executive of the Health System. They will be responsible for facilitating translation of AI-enabled discoveries into practice, leading to real-world results and improved patient outcomes. The Center Director will work in close partnership 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 newly created division in the College of Medicine, 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. The Division Director 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.
Requirements
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.
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.
