Craig Parman is an Associate Director of Statistical Programming and data scientist with 11+ years of experience building R/Shiny solutions for clinical, genomics, and laboratory informatics customers across startups, biopharma, and enterprise clients. He combines deep scientific training (PhD/MS in Physics) with hands-on software delivery—developing reproducible ADaM/SDTM table generators, integrated Shiny-LIMS apps, and interactive dashboards that accelerate decision-making for clinical and research teams. Craig has led cross-functional technical programs from pre-sales through product integration, closing early commercial deals and shepherding integrations into production at organizations like Novartis, BioMarin, and Daiichi Sankyo. He is especially skilled at translating complex scientific workflows into GUI-driven tools that make reproducible analysis accessible to nonprogrammers. Known for pairing strategic industry knowledge in genomics and clinical data with pragmatic engineering, he brings both domain credibility and delivery focus to regulated environments. Based in Westbrook, CT, he blends consulting agility with enterprise-grade process and automation to drive faster, auditable analytics.
11 years of coding experience
25 years of employment as a software developer
PhD Physics, PhD Physics at University of Minnesota
Contributions:40 pushes, 8 branches in 2 years 4 months
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