Medical Coding Artificial Intelligence Jobs in Wisconsin

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.

• 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.

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.

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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Madison's technology economy is growing rapidly, and the region is home to the headquarters of Epic Systems, Exact Sciences, Sub-Zero, and Land's End, as well as many biotech, healthcare IT, and health systems startups. In the Fall of 2023, Wisconsin was designated as a Tech Hub by the Economic Development Administration (EDA), which resulted in a grant award of up to $75 million to help accelerate growth of the state's bio health industry. Phase 2 of the Wisconsin Biotech hub was announced in July 2024, resulting in $49 million in additional funding to help drive transformative medical innovation, workforce development, and critical job growth across Wisconsin. One of the three technology projects of this proposal is the Wisconsin Health Data Hub, led by researchers from the University of Wisconsin, School of Medicine and Public Health.

Madison is the second largest city in the state, with a city population of approximately 260,000 and regional population of over 1 million. The city is within easy driving range of Chicago and Milwaukee. Madison is home to one of the strongest local food scenes in the country. From April to October, Capitol Square hosts the largest producer-only farmers market in the country. The city is rich in cultural offerings in the arts.

Negotiable, 12 month

Employees in this position can expect to receive benefits such as generous vacation, holidays, and sick leave; competitive insurances and savings accounts; retirement benefits.

• 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

CHS: For an appointment at Associate Professor or Professor rank on the CHS track; candidates will meet criteria established by the department and as outlined in the School of Medicine and Public Health guidelines for promotion or appointment to Associate or Professor on the CHS track.

PhD in Computer Sciences, Biomedical Informatics, Biomedical Engineering, Artificial Intelligence, or related field in closely related discipline required by start date.

For the best experience completing your application, we recommend using Chrome or Firefox as your web browser.

To apply for this position, select either "I am a current employee" or "I am not a current employee" under Apply Now. 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 June 21, 2026; however, the position will remain open, and applications may be considered until the position is filled.

The department will not be able to support a request for a J-1 waiver. If you choose to pursue a waiver and apply for our position, neither the UW nor UWMF will reimburse you for your legal or waiver fees.

Melissa Kuester, mkuester@uwhealth.org

Relay Access (WTRS): 7-1-1. See RELAY_SERVICE for further information.

Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals.
The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world.

The University of Wisconsin-Madison is an Equal OpportunityEmployer.

Qualified applicants will receive consideration for employment without regard to, including but not limited to, race, color, religion, sex, sexual orientation, national origin, age, pregnancy, disability, or status as a protected veteran and other bases as defined by federal regulations and UW System policies. We promote excellence by acknowledging skills and expertise from all backgroundsand encourage all qualified individuals to apply. For more information regarding applicant and employee rights and to view federal and state required postings, visit the Human Resources Workplace Poster website.

To request a disability or pregnancy-related accommodationfor any step in the hiring process (e.g., application, interview, pre-employment testing, etc.), please contact the Divisional Disability Representative (DDR)in the division you are applying to.Please make your request as soon as possible to help the university respond most effectively to you.

Employment may require a criminal background check. It may also require your references to answer questions regarding misconduct, including sexual violence and sexual harassment.
The University of Wisconsin System will not reveal the identities of applicants who request confidentiality in writing, except that the identity of the successful candidate will be released. See Wis. Stat. sec. 19.36(7).
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