Career Center

The Innovative Methods & Data Science (IMDS) program within the Center of Learning Health System Sciences (CLHSS) at the University of Minnesota is seeking a Health Data Scientist to join a team working on multiple cutting-edge research projects in the field of health data science and artificial intelligence. IMDS launched in late 2022 as a program within CLHSS in partnership with the School of Public Health Division of Biostatistics and is in the process of establishing operations and services. The goal of IMDS is to develop novel computational, statistical, and other data science methods to rigorously quantify associations between novel, multimodal big data and health outcomes. IMDS currently consists of faculty members, students, and staff from computational health sciences, biostatistics, computer science and health informatics with interdisciplinary expertise. The successful candidate will closely work with the IMDS faculty and team members on cutting-edge research projects using real-world patient big data and collaborate with teams in M Health Fairview and other external institutions and health systems.

Duties/Responsibilities:

Regularly conduct computational experiments to execute machine learning and deep learning algorithms on various data projects  - 80%

• Assist with new project development including topic refinement, study design, data collection/cleaning, etc.
• Design and/or implement AI and other novel methods for analyzing data using programming and model building, summarize findings, and generate study results for research topics
• Work under general supervision but has the discretion to make daily operational decisions on assigned projects; decisions may involve identifying the best approach from alternatives and integrative solutions, determining how to best use available resources, recommending novel or new approaches.

Disseminate project results and findings - 10%

• 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).

Support data core of CLHSS - 10%

• Actively participates in program and center meetings and events.
• Helps define and implement shared best practices and process flow across related CLHSS programs and partners.
• Other duties as assigned.

Required Qualifications:

• Bachelor's degree plus four years of related work experience; or a Master's degree plus two years experience 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 and familiar with deep learning frameworks.
• At least one year of research experience with clinical data analysis
• 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 biomedical natural language processing, knowledge graph embedding, predictive modeling on longitudinal data, computer vision, and/or causal inference.
• 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 with different skill sets and expertise
• Strong experience with preparing peer-reviewed publications

About University of Minnesota Twin Cities

The University of Minnesota, founded in the belief that all people are enriched by understanding, is dedicated to the advancement of learning and the search for truth; to the sharing of this knowledge through education for a diverse community; and to the application of this knowledge to benefit the people of the state, the nation, and the world.

Connections working at University of Minnesota Twin Cities