Summary
Chris Kuhn is a Principal Statistical Programmer with over a decade of experience delivering automation-first, reusable solutions for clinical trials and regulated environments. Based in Mannheim, he combines an M.S. in Computer Science with deep SAS and data engineering expertise to lead cross-functional global teams and streamline complex reporting workflows. He has repeatedly built pragmatic tooling—such as macros and XML generation processes—that became standard validation steps across organizations. Beyond pharma, Chris applies his technical leadership to disaster response as a regional technology manager and volunteer firefighter, bringing calm, process-driven decision-making to high-stress situations. Known for bridging domain, engineering, and operations, he excels at turning ad-hoc, high-priority requests into robust, repeatable systems.
10 years of coding experience
10 years of employment as a software developer
SAS Institute
Master of Science (MS), Computer Science and Engineering, Master of Science (MS), Computer Science and Engineering at University of Connecticut
English