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