Summary
John Darcy is a Bioinformatics Scientist with nine years of experience combining statistical software development, algorithm design, and proteomics data analysis. He has driven major efficiency gains—automating QC pipelines to cut turnaround time by 98%—and built multiple internal R/Python packages, one of which is being commercialized and adapted for customer-facing use. His background spans NIH-funded computational biology postdoctoral research and a PhD in Ecology & Evolutionary Biology, giving him a strong foundation in quantitative methods and experimental design. John has developed novel statistical methods (including mislabeled-sample detection in paired data) and improved GSEA performance, translating research innovations into production tools. Based in Boulder, CO, he excels at making complex analyses accessible through interactive visualizations used across R&D, clinical, and commercial teams. Colleagues rely on him to bridge deep computational thinking with pragmatic product-focused delivery.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Ecology and Evolutionary Biology, Doctor of Philosophy - PhD, Ecology and Evolutionary Biology at University of Colorado Boulder