Practice Transformation and Innovation in Artificial Intelligence - CHS Track

Universities of Wisconsin•Madison, WI

15h•Onsite

About The Position

The Department of Radiology offers a unique opportunity and is seeking an expert in the areas of practice transformation and innovation while integrating artificial intelligence tools, through Artificial Intelligence (AI) and computer science to join our faculty on the CHS track. The candidate will collaborate closely with a multidisciplinary team of radiologists, residents, and fellows to modernize, improve efficiency, and enhance the quality of work through clinical and patient outcomes. This position requires work to be completed onsite, at a designated campus work location. Applicants will be considered for the titles of: Assistant, Associate or Professor on the Clinical Health Sciences (CHS) track. The title is determined by the experience and qualifications of the finalist.

Requirements

Minimum of 2 years postdoctoral research at the intersection of artificial intelligence (AI) and medical imaging by start date.
Experience in translating artificial intelligence (AI) and machine learning (ML) models into clinical or research applications
PhD in Computer Sciences, Biomedical Informatics, Biomedical Engineering, Artificial Intelligence, or related field in closely related discipline required by start date.

Nice To Haves

CHS Faculty: Participate in administrative and committee work to support the clinical and scholarly missions of UW Health and the School of Medicine and Public Health. An essential part of these duties will be working in a collegial relationship with other faculty members.
All Faculty: The chosen candidate will teach medical students, residents, and fellows.

Responsibilities

Implement artificial intelligence (AI) in clinical settings (diagnostics, imaging).
Serve as a clinical champion for AI-based workflows including piloting and evaluating AI tools in clinical settings, and partnering with operational leaders on quality, safety, and efficiency initiatives.
Research focused on AI driven on practice transformation.
Clinical effectiveness utilizing AI
Develop AI and transformation skills across Department of Radiology faculty, fellows, residents, medical students, and health system leaders.