Description

The Department of Artificial Intelligence (AI) & Health at the Medical College of Georgia (MCG) at Augusta University seeks a dynamic and innovative faculty member (Assistant, Associate, of Full Professor, tenure track/tenured) to advance research, education, and collaboration at the intersection of artificial intelligence and healthcare. The successful candidate will lead efforts in developing and integrating AI-driven solutions to improve healthcare delivery, medical education, and clinical outcomes. 

MCG is the state of Georgia’s only public medical school, with a nearly 200-year legacy of leadership in medical education, discovery, and service. Augusta University is a rapidly growing academic health center with a strong institutional commitment to data science, artificial intelligence, and health system innovation.

 Responsibilities

      Conduct impactful research in AI applications for healthcare, including but not limited to biomedical informatics, bioinformatics, clinical research informatics, data science and big data analysis, clinical decision support, medical imaging, and natural language processing. 

      Develop and deliver educational content in AI & Health for medical students, residents, and interdisciplinary learners.
Collaborate with clinical, academic, and industry partners to translate AI innovations into clinical practice.

      Secure external funding through grants and partnerships to support research initiatives.

      Contribute to departmental growth by mentoring students and junior faculty and fostering a culture of excellence

How To Apply

To be considered an applicant for this position, you must apply online to JOB ID# 290815 at https://www.augusta.edu/hr/jobs/#job-portals.
Please upload your Curriculum Vitae, Research Statement, Professional References, etc., as one document.

Requirements

      PhD, MD, or equivalent terminal degree in a relevant field (e.g., Artificial Intelligence, Computer Science, Biomedical Informatics, Medicine, Health Sciences).

      Proven track record of research and scholarship in AI applications in healthcare.

      Strong publication record and history of securing extramural funding.

      Experience in interdisciplinary collaboration and translational research.

      Commitment to excellence in education and mentorship.

      Excellent communication and leadership skills.