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Kaiser Permanente Southern California invites applications for a 2026 Summer Internship in the Department of Research & Evaluation. The role provides analytical support, data collection, and presentation of results under guidance of a PM/Director.
You will work on study protocols, assemble analytic datasets, and present findings at study meetings. The ideal candidate is a MS/MPH in Biostatistics or CS/Data Science, with experience in Python, R, and Databricks, and strong communication and
FLEXIBLE: This internship role is scheduled to be flexible. Please be prepared to spend part of your time working remotely and part of your time working from the following location: 100 S. Los Robles Ave., Pasadena, 91101.
Note: THIS POSITION MUST BE REVIEWED WITH TOTAL COMPENSATION BEFORE POSTING. This position provides analytical support to a project or department. Under the guidance of a Project Manager/ Director, responsible for collecting and researching data, performing analysis, providing recommendations andpresenting results.
The Department of Research & Evaluation has an integral role in the success of Kaiser Permanente Southern California by conducting high-quality, innovative translational research that benefits the health of its members and the communities from which they come. Our mission is to initiate and conduct high-quality, public-sector health services, epidemiologic, behavioral, and clinical research that has a demonstrable positive impact on the health and well-being of Kaiser Permanente Southern California members and the general population.
Develop proficiency in navigating the R&E research data warehouse while deepening your knowledge of study protocols. Use these protocols to help assemble analytical datasets and apply statistical techniques to uncover valuable insights. Work alongside skilled analysts and scientists, gaining exposure to effective data management and analysis practices. Share your results at study meetings to enhance both your communication and presentation abilities.
MS or MPH degree or in Biostatistics or Computer Science/Data Science.