Research Pro 1 - Data Science (Computational Health Sciences Division)

About the Job

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.

Qualifications

Required Qualifications

• Bachelors 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.

About the Department

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

Pay and Benefits

Pay: $22.39/hour

Time Appointment: 100% Appointment

Position Type: Civil-Service & Non-Faculty Labor Represented Staff

Please visit the Office of Human Resources website for more information regarding benefit eligibility.

The University offers a comprehensive benefits package that includes:

• Competitive wages, paid holidays, and generous time off
• Continuous learning opportunities through professional training and degree-seeking programs supported by the Regents Tuition Benefit Program
• Low-cost medical, dental, and pharmacy plans
• Healthcare and dependent care flexible spending accounts
• University HSA contributions
• Disability and employer-paid life insurance
• Employee wellbeing program
• Excellent retirement plans with employer contribution
• Public Service Loan Forgiveness (PSLF) opportunity
• Financial counseling services
• Employee Assistance Program with eight sessions of counseling at no cost
• Employee Transit Pass with free or reduced rates in the Twin Cities metro area

While our salary ranges provide a framework, it is important to note that most of the

time, the initial pay may not reach the maximum of the range. This approach ensures

that compensation reflects the value and unique contributions of each candidate while

maintaining equity within our organization. As part of our commitment to fair and

equitable compensation, please be aware that the salary offered to incoming candidates

will be based on their individual credentials and experience.

How To Apply

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.

Diversity

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

Employment Requirements

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.

About University of Minnesota

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 nations 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.