Description Faculty Position in AI-Driven Musculoskeletal Research Yale University School of Medicine - Department of Orthopaedics & Rehabilitation The Department of Orthopaedics & Rehabilitation at Yale University School of Medicine invites applications for a faculty position (Assistant, Associate, or Full Professor) in the tenure track for candidates with expertise in artificial intelligence (AI) and a strong interest in musculoskeletal (MSK) research and/or orthopedic surgery. Applicants must hold a PhD and/or MD (or equivalent degree) and demonstrate outstanding qualifications in research and education.

Areas of Interest Include:

Artificial intelligence and machine learning applications in musculoskeletal medicine and orthopedic surgery Biomedical data science and modeling relevant to MSK health Image analysis and computer vision for orthopedic imaging Clinical informatics and outcomes research in orthopedics Precision medicine and personalized approaches to MSK disorders Biomechanical modeling, simulation, and computational orthopedics Integration of AI with electronic medical records and surgical workflows

Responsibilities:

Establish and maintain a vigorous, independently funded research program in AI-driven musculoskeletal science Collaborate with clinical and research faculty in orthopedics, engineering, and data science Supervise and mentor students, residents, and fellows from diverse backgrounds Contribute to the educational missions of the department and Yale School of Medicine Foster an environment of collaboration, innovation, and scientific discovery Requirements PhD and/or MD (or equivalent) with demonstrated expertise in AI, data science, or related fields Track record of independent, creative research accomplishments Track record of federally funded (NSF, NIH, etc) research Interest or experience in musculoskeletal research and/or orthopedic surgery is preferred Strong scientific, management, and interpersonal skills