All required qualifications must be included in the application materials Required Qualifications Bachelor's or in biomedical/health informatics, Computer Science, Information Science, Data Science, Artificial Intelligence, Computational Linguistics, Electrical Engineering, or a related technical field OR a combination of education and relevant working experience to equal at least four years Strong programming skills in Python. Familiarity with machine learning, deep learning, and statistical modeling techniques. Excellent written and verbal communication skills. Demonstrated ability to work independently and collaboratively in a multidisciplinary research environment. Ability to manage multiple projects, meet deadlines, and adapt to evolving research priorities. Preferred Qualifications Research experience in medical image analysis, computer vision, multimodal learning, or longitudinal predictive modeling. Experience developing deep learning models using PyTorch and/or TensorFlow. Experience with biomedical or clinical datasets. Experience contributing to scientific publications or technical reports. Experience working in collaborative research teams. The Department of Surgery (DOS) at the University of Minnesota is seeking a highly motivated Researcher to join the Division of Health Data Science (HDS). The successful candidate will participate in research projects focused on artificial intelligence, biomedical informatics, computer vision, and health data science. The Visiting Student Researcher will collaborate with faculty, research staff, and students to develop novel computational methods for analyzing biomedical and clinical data. This position provides excellent opportunities to gain research experience in machine learning, medical image analysis, multimodal foundation models, and clinical AI while working in a highly collaborative academic environment. Position is a temporary, 2-year position Duties/Responsibilities Research and AI Model Development (50%) Assist with data preprocessing and cleaning for biomedical research projects Run and maintain existing AI/ML codebases and document experimental results Conduct computational experiments using large-scale biomedical datasets. Project Development and Data Analysis (20%) Assist in the development of new research projects and perform literature reviews Support the development and testing of machine-learning models under supervision Scientific Writing and Dissemination (20%) Conduct literature searches and summarize relevant publications for ongoing projects Assist with preparing figures, tables, technical reports, and other research materials Present research findings through presentations, posters, and written reports. Collaboration and Other Research Activities (10%) Collaborate with faculty members, postdoctoral researchers, graduate students, and research staff on interdisciplinary projects. Participate in lab meetings and perform other research-related duties as assigned. The Division of Health Data Science is a newly established division within the Department of Surgery at the University of Minnesota. Our mission is to develop innovative computational methods that leverage biomedical data, artificial intelligence, and machine learning to advance precision medicine and improve patient care.

More information is available at:

https://med.umn.edu/surgery Applications must be submitted online. To be considered for this position, please click the Apply button and follow the instructions. You will be given the opportunity to complete an online application for the position and attach a cover letter and resume. Additional documents may be attached after application by accessing your "My Job Applications" page and uploading documents in the "My Cover Letters and Attachments" section. To request an accommodation during the application process, please e-mail jobcentr@umn.edu. The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission. The University is committed to attracting and retaining employees with varying identities and backgrounds. The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the

U:

http://diversity.umn.edu Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment. The University of Minnesota, Twin Cities (UMTC) The University of Minnesota, Twin Cities (UMTC), is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation's most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations. At the University of Minnesota, we are proud to be recognized by Forbes as a Best Employer for Company Culture (2026), Best Employer for Women (2023, 2025, 2026), and Best Employer by State (2022-2026). In 2026, we also received Culture Excellence & Industry Awards recognition for employee appreciation and work-life flexibility.