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    Jake Gundrum

Jake Gundrum

Director, Research Analytics and Innovations

Jake Gundrum is the Director of Research Analytics and Innovations for PINC AI Applied Research®, with a strong background in statistical modeling, prospective research and leveraging big data for retrospective study designs. He provides analytical, methodologic and programming expertise for studies such as health economics and outcomes research (HEOR) and market analyses using the PINC AI Healthcare Database (PHD). He works with the pharmaceutical and medical device industries, academia and governmental agencies to support a variety of research designs in their therapeutic areas of interest. Gundrum is involved with identifying value and opportunity for designing, building, deploying and supporting team members on custom internal software and intellectual resources to improve internal processes and methods. Specifically, he leverages key concepts such as reusability, simplification, strategy, tactics, lean, agile and the software development life cycle (SDLC). This work at Premier led to earning Lean Healthcare certification from North Carolina State (2018). Before joining Premier, Gundrum was an Advanced Analytics Consultant at Teradata providing clients with professional services around high-performance parallel computing; education on software integration; and methodologic support for statisticians, analysts, database administrators and computer programmers. He also led and instantiated an analytic team responsible for leveraging big data on the Teradata parallel computing platform. Before joining Teradata, he was a lead biostatistician at Gundersen Health System responsible for key aspects of medical research including proposal writing, research design, computer programming, statistical analysis and dissemination of results through abstracts and manuscripts. Prior to that position, he served as a business analyst modeling health insurance risk at Assurant Health. Gundrum was a recipient of the Eastern Cooperative Oncology Group (ECOG) Young Investigator Award for his research addressing cancer trends in the elder population of 85 years of age and older using the Surveillance Epidemiology End Results (SEER) database. He also served as the biostatistician for a National Institutes of Health R03 grant to study monoclonal gammopathy of undetermined significance (MGUS) using the SEER-Medicare database. During his career, Gundrum has co-authored numerous presentations and publications. He holds a master’s degree in mathematics with concentrations in statistics and computer programming.

Featured Publications

Gundrum, J., et al. (2020). Long-Term Outcomes and Associations With Major Adverse Limb Events After Peripheral Artery Revascularization. Journal of the American College of Cardiology, 11;75(5):498-508. doi: 10.1016/j.jacc.2019.11.050.

Gundrum, J., et al. (2018). Health-care utilization and outcomes of patients at high risk of invasive fungal infection. ClinicoEconomics Outcomes Research, 10:371-387. doi: 10.2147/CEOR.S162964.


  • M.S., Mathematics; Statistics Concentration, University of Wisconsin-Milwaukee


Lean Healthcare Certification
Lean Certification Alliance, North Carolina State

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