Assistant/Associate/Full Professor, Artificial Intelligence in Medicine

The School of Medicine and Public Health (SMPH) at the University of Wisconsin is seeking excellent candidates for a tenure track position through the Wisconsin Research, Innovation and Scholarly Excellence (RISE)- AI initiative. RISE-AI addresses significant, complex challenges of importance to Wisconsin and the world.Through this initiative, SMPH aims to accelerate medial research using artificial intelligence (AI) and develop innovative AI training for practitioners. This initiative focuses on advancing the technical dimensions and human-centered implications of AI as they impact medicine and health. RISE AI is a major opportunity to accelerate basic and translational research across domains and to create innovative integrated AI-medical and health research training programs to develop the next generation of scientists and practitioners of AI in medical research and clinical care.

The School of Medicine and Public Health (SMPH) seeks to recruit outstanding candidates for a tenure-track faculty position who demonstrate a strong commitment to scholarly research, excellence in teaching, and professional service. The successful candidate will possess the ability to translate basic science discoveries into clinical practice. This individual will be expected to actively engage in interdisciplinary and collaborative initiatives across departments, schools, and colleges. Opportunities for joint appointments within other departments and schools at the University of Wisconsin may be available, depending on the candidate's expertise and interests.

The research focus of the faculty member should fall within focus areas:

• Precision Population Health: Improving health through precision prevention and intervention

• Molecular Discovery: Identification of novel target and drugs; analysis of large data sets to uncover new biological discoveries

• Integrated Diagnostics: AI-enabled screening, diagnostics, therapeutics, treatment monitoring, and decision making

• Advanced AI & Foundational Data Science: Advanced methodological approaches in AI relevant to health care

• If a physician-scientist, provide patient clinical care, which might include direct patient care at UW Health locations.

• As part of the University of Wisconsin RISE-AI initiative, the successful candidate will commit to scholarly research, teaching, and professional service at the tenure-track level. The successful candidate will advance the mission of SMPH.

• Participate in administrative and committee work to support the clinical and scholarly missions of UW Health and the School of Medicine and Public Health. Participate in interdisciplinary and collaborative research and education efforts with other departments, schools, and colleges.

• Provide guidance and mentorship to junior researchers, postdoctoral fellows, and graduate students, fostering a collaborative and learning oriented environment. Serve on research mentor committees as needed.

• Conduct innovative research. Collaborate with multidisciplinary teams of clinicians, and researchers from multiple schools and colleges on the University of Wisconsin-Madison campus to integrate knowledge into clinical practice to improve the quality and quantity of life for patients. Apply for research grants and funding opportunities to support ongoing projects and innovative research initiatives. Participate in interdisciplinary and collaborative efforts with other departments, schools, and colleges. Disseminate research findings through scientific publications, presentations at scientific conferences and presentations. Ensure compliance with ethical guidelines and regulations while conducting research involving human subjects and animal models.

• Participate in the teaching efforts of a SMPH Department. Teaching responsibilities will include lectures, conferences, and daily training of residents, fellows, and medical students (if on clinical service).

School of Medicine and Public Health

As the nation's first combined school of medicineandpublic health, we invest in faculty who share our passion for working together to advance health and health equity through education, service and research. We are dedicated to theWisconsin Idea, the principle that our work should benefit the lives of people in Wisconsin and beyond.

As a research powerhouse within one of the nation's leading research institutions, we foster a culture of innovation and inquiry. Our faculty benefit from access to state-of-the-artshared resources, equipment and facilities; a sophisticated computational, data, and informatics infrastructure; extensive high-quality datasets; and a comprehensive network ofresearch support services.

This position is part of the Wisconsin Research, Innovation and Scholarly Excellence (RISE) Initiative. Through accelerated and strategic faculty hiring, research infrastructure enhancement, interdisciplinary collaboration, and increased student and educational opportunities, RISE addresses complex societal challenges of importance to the state, nation and world. Building on UW-Madison's strengths, RISE expands the University's successful track record of connecting with communities and industry on collaborative solutions.

Over the next three academic years, UW-Madison will substantially increase current hiring levels, bringing 150 new RISE faculty to campus. Candidates hired through RISE will join a community of scholars working across disciplines, schools and colleges on research, teaching and outreach endeavors. The community will engage regularly in venues such as seminar series and colloquia to share ongoing projects and identify opportunities to work together. The University will support the community, facilitating access to research infrastructure, and funding to support broad and rich collaboration.

Further information regarding RISE can be found at:https://rise.wisc.edu/

Information regarding the SMPH-specific RISE Faculty Hiring Initiative can be found at: https://go.wisc.edu/smphrise

• SMPH RISE-AI

Negotiable, 12-month

Researcher in one of the following areas:

• Precision Population Health

• Molecular Discovery

• Integrated Diagnostics

• Advanced AI & Foundational Data Science

Record of peer-reviewed publications and presentations at national/international meetings

Experience with teaching learners.

WI medical license is required by start date of position, if a physician performing clinical work

The successful candidate will have academic credentials sufficient for appointment on the Tenure Track

Required MD, MD and PhD, or PhD or equivalent by start date of appointment in computer science, oncology, neurosciences, biomedical imaging, drug development, or a related field.

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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 a single PDF with the following materials:

• A cover letter outlining your interest in this position, and your training and experience relating to the required qualifications listed above.

• A curriculum vitae highlighting research accomplishments, teaching, mentoring and administrative roles

The application reviewers will be relying on written application materials to determine which qualified applicants will advance in the recruitment process. We will notify selected applicants to participate further in the selection process directly. References will be requested of final candidates. All applicants will be notified after the search is complete and a candidate has been selected.

The deadline for full consideration is April 15, 2026

Contact Information:

Dr. Benjamin Schultz-Burkel, drbenjamin.schultzburkel@wisc.edu, 608-345-2655

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

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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 Opportunity Employer.

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 backgrounds and 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.

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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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