Post-Doctoral Associate - Computational Health Sciences Division

Overview

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

• Risk predictive model for clinical outcomes
• Causal representation learning for real‑world data
• Deep learning interpretation, fairness and robustness
• Regularly conduct computational experiments to execute algorithms on various health and biomedical informatics projects
• Assist with new project development including literature review and study design
• Work under general supervision but usually given latitude to make decisions on accountable projects; decisions may involve selecting an approach among alternatives and determining how best to 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 on biomedical and/or clinical texts, computer vision on medical images, causal inference, and predictive modeling on longitudinal data
• Expertise in transformers, reinforcement learning, transfer learning
• Experience 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

Pay Range: Minimum $61,008; depending on education, qualifications, experience

• Competitive wages, paid holidays, and generous time off
• Continuous learning opportunities through professional training
• Medical, dental, and pharmacy plans
• Healthcare and dependent‑care flexible spending accounts
• University HSA contributions
• Disability and life insurance
• Employee wellbeing program
• 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.

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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.