"Practice Transformation and Innovation in Artificial Intelligence - CHS Track"

Job Details

Salary:
Current Employees: If you are currently employed at any of the Universities of Wisconsin, log in to Workday to apply through the internal application process.
Job Category: Academic Staff
Employment Type: Regular
Job Profile: Assistant Professor (CHS)
Job Summary:
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.

Key Job Responsibilities:
45-50% Clinical 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.

45-50% Research responsibilities:

• Research focused on AI driven on practice transformation.
• Clinical effectiveness utilizing AI

5-10% Teaching responsibilities:

• Develop AI and transformation skills across Department of Radiology faculty, fellows, residents, medical students, and health system leaders.

Department:
The UW Department of Radiology consists of more than 165 faculty across 13 sections, reading over 1,000,000 diagnostic scans per year. We train more than 50 residents and fellows per year and have an extensive presence throughout the medical student curriculum.
The UW Department of Radiology provides excellence in patient care in an environment that is respectful of others and adaptive to change. We are dedicated to sharing our clinical expertise through regional outreach to the people of Wisconsin and their healthcare providers. We provide an environment for education of our trainees, staff, and healthcare professionals through scholarly conferences and continuing education programs. We improve human health by developing innovative imaging technology through basic and translational research in collaboration with colleagues at UW-Madison and beyond. We support the Wisconsin Idea to improve people's lives beyond our walls by collaborating with industry to translate modern technology into daily clinical practice. We support the economic development of Wisconsin and the financial wellbeing of UW Health. We recruit and develop dedicated faculty and health professionals who inspire their co-workers and students towards lifelong learning, research discovery, service to their community and clinical excellence.
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Compensation:
Negotiable
Employees in this position can expect to receive benefits such as generous vacation, holidays, and sick leave; competitive insurances and savings accounts; retirement benefits.
Required Qualifications:

• 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

Preferred Qualifications:
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.
Education:
PhD in Computer Sciences, Biomedical Informatics, Biomedical Engineering, Artificial Intelligence, or related field in closely related discipline required by start date.
How to Apply:
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To apply for this position, select either "I am a current employee" or "I am not a current employee" under . You will then be prompted to upload your application materials.
Important: The application has only one attachment field. Upload the following documents in that field, either as a single combined file or as multiple files in the same upload area.
Please upload the following required materials to complete your application:

• Cover Letter – Detailing how your training and experience align with the required and preferred qualifications listed above.
• Current Curriculum Vitae (CV)

Application reviewers will rely on these written materials to determine which applicants move forward in the process. References will be requested from final candidates. All applicants will be notified once the search concludes and a candidate is selected.
The deadline for assuring full consideration is March 17, 2026; however, the position will remain open, and applications may be considered until the position is filled.