Assistant Professor - Computational Health Sciences/Center for Learning Health System Sciences

University of Minnesota; Saint Paul (MN); On-site; USD 70,000 - 110,000; Full time

Job summary

An established industry player is seeking an Assistant Professor to join their Division of Computational Health Sciences. This exciting role involves leading research in applied real-world data science, collaborating with interdisciplinary teams, and contributing to healthcare improvement initiatives. The ideal candidate will possess a terminal degree and a strong background in health informatics, with proven research experience. This position offers a unique opportunity to influence the development of the profession and engage in meaningful research that drives real-world impact in health systems.

Qualifications

• PhD or MD in health informatics or related field required.
• Proven research involvement in peer-reviewed journals.

Responsibilities

• Develop research in applied real-world data science.
• Lead efforts in real-world data analysis for healthcare improvement.

Skills

Health Informatics Research

Effective Communication

Data Analysis Techniques

Interdisciplinary Collaboration

Education

Terminal Degree (PhD, MD)

Tools

Project Management Methodologies

Job description

About the Job

The Assistant Professor will undertake responsibilities in research, service, teaching, and mentoring within the Division of Computational Health Sciences (CHS) in the Department of Surgery and the Center for Learning Health System Sciences (CLHSS). Key duties include developing research in applied real-world data science, leading or participating in research projects, and contributing to the development of the profession through various activities. The role also involves leading efforts in real-world data analysis to support learning health systems, collaborating with stakeholders, and conducting high-quality healthcare improvement research.

Qualifications

Required Qualifications:

• Terminal degree (PhD, MD, or equivalent) in health informatics or related field, or equivalent experience.
• Proven research involvement in health informatics, published or accepted in peer-reviewed journals.
• Effective communication skills for teaching and research dissemination.
• Expertise in analysis techniques across various application areas.
• Experience working with interdisciplinary research teams.

Preferred Qualifications:

• Experience in teaching and course development.
• Expertise with healthcare data, disease areas, and clinical themes.
• Project management skills and familiarity with related methodologies.
• Knowledge of biomedical data representation.