Overview
Department of Surgery (DOS, https://med.umn.edu/surgery) 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, natural language processing, and computer vision in the Division of Health Data Science (HDS) at the DOS. The position is an annually renewable professional academic appointment.
Duties/Responsibilities:
- 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 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, 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)
Required Qualifications:
- 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
Preferred Qualifications:
- Research experience in natural language processing on biomedical and/or clinical texts, computer vision on medical images, causal inference, predictive modeling on longitudinal data
- Expertise in transformers, reinforcement learning, and transfer learning
- 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
#J-18808-Ljbffr
