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

University of Minnesota; Minneapolis (MN); On-site; USD 25,000 - 36,000; Full time

Benefits offered by this job

Regents Tuition Benefit Program

PSLF eligible

Excellent retirement plans

Employee wellbeing program

Job summary

The Department of Surgery's Division of Health Data Science at the University of Minnesota invites applications for a Visiting Student Researcher. This role focuses on AI, biomedical informatics, computer vision, and health data science to advance clinical AI research.

You will collaborate with faculty, research staff, and students to develop computational methods for analyzing biomedical and clinical data, gaining experience in ML, medical image analysis, and multimodal foundation models in a

Qualifications

• Bachelor’s degree or equivalent in a technical field with four years of relevant experience
• Strong Python programming skills
• Familiarity with ML, DL, and statistical modeling techniques
• Excellent written and verbal communication skills
• Ability to work independently and collaboratively in a multidisciplinary research setting
• Ability to manage multiple projects and meet deadlines

Responsibilities

• Research and AI model development using biomedical datasets
• Assist in developing new research projects and literature reviews
• Prepare figures, tables, and reports for dissemination
• Present findings via posters, talks, and written reports
• Collaborate with faculty, researchers, and students on interdisciplinary projects

Skills

Python

Machine learning

Data analysis

Communication

Independent work

Multidisciplinary teamwork

Education

Bachelor's degree in Biomedical Informatics, Computer Science, Data Science, AI, or related field

Tools

PyTorch

TensorFlow

Job description

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

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.

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.

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 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.