Health AI Scientist; Researcher

About The Job

Department of Surgery (DOS, (Use the "Apply for this Job" box below).) at the University of Minnesota is seeking a research scientist to join a team working on multiple research projects in health data science, artificial intelligence, and natural language processing in the Division of Health Data Science (HDS) at the DOS. The position is an annually renewable professional academic appointment.

Division of Health Data Science in DOS focuses on developing novel data science methods to analyze biomedical big data for advancing health care. The Natural Language Processing / Information Extraction (NLP/IE) Program at the Institute for Health Informatics is a team of investigators, postdoctoral researchers, programmers, and students working on NLP for a variety of clinical and biomedical tasks.

• Regularly conduct computational experiments to execute AI algorithms on various health and biomedical projects
• Assist with new project development including literature review, study design, and experiment conduction
• Work under general supervision but usually is given the latitude to make decisions on projects that s/he is accountable for delivering on; decisions may involve an approach from among alternatives and determining how to best use available resources
• Design and/or implement AI methods, summarize findings, and generate study results for research topics
• Write, edit, or critique technical reports and/or publications describing research results to sponsors or funders of the research
• Communicate and present analytical results to researchers, faculty, and other academic professionals in associated fields of expertise (spoken presentations, poster or written work summaries for display, panels, and other formats)

• A Ph.D. degree in Biomedical/Health Informatics, Computer Science, Information Science, Computational Linguistics, Data Science, Artificial Intelligence, or a related technical field
• Strong programming skills in Python, Java, etc.
• Expertise in machine learning, neural networks, and deep learning
• Excellent writing and communication skills
• Highly motivated, ability to identify potential problems and develop solutions
• Ability to function well in a fast‑paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs

• Research experience in natural language processing especially larger language models on biomedical and/or clinical texts, graph neural networks, predictive modeling on longitudinal data
• Expertise in deep learning, reinforcement learning, transfer learning
• Experience working with multimodal biomedical data
• Experience with leading projects within a research team
• Working knowledge of modern web service and/or software implementation
• Ability to work collaboratively with a diverse group of research scientists with different skill sets and expertise
• Strong experience with peer‑reviewed publications

Pay Range: $49,145.94 minimum; depending on education/qualifications/experience

Time Appointment: 75%–100% appointment

Position Type: Faculty and P&A Staff

Benefits Package 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

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: .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.