Job Description

About the Program

Division of Health Data Science in DOS is a newly created division which focuses on development of novel data science methods to analyze biomedical big data for advancing health care. The Natural Language Processing / Information Extraction (NLP/IE) Program (https://healthinformatics.umn.edu/natural-language-processing) at the Institute for Health Informatics is a team of investigators, postdoctoral researchers, programmers, and students who work together on NLP for a variety of clinical and biomedical tasks.

Duties/Responsibilities:

● 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 decision 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).




Qualifications
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 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