Paul Baranay is a senior software engineer at Google with 11 years of experience blending computational biology, big-data engineering, and production software. Trained at MIT, Notre Dame, and Yale (MS in Computational Biology/Bioinformatics), he spent seven+ years in genomic research building statistical pipelines to tackle problems like cancer and malaria before shifting to software engineering. At Google he progressed from software engineer to senior roles, bringing a scientist’s rigor to large-scale data systems and practical model-driven solutions. He has startup experience leading data engineering at Wiser and built open-source tooling as an undergraduate (Metassembler) that reconciles multiple genome assemblies. Paul is motivated by turning noisy, complex datasets into actionable trends and products, and enjoys joining energetic teams that deploy informatics for real-world impact. Based in New York, he combines research pedigree with production delivery fluency, uniquely positioning him to bridge bioinformatics and large-scale engineering.
11 years of coding experience
10 years of employment as a software developer
Biological Engineering, Biological Engineering at Massachusetts Institute of Technology
Master’s Degree, Computational Biology and Bioinformatics, Master’s Degree, Computational Biology and Bioinformatics at Yale University
Bachelor’s Degree, Biology and Applied Math, Bachelor’s Degree, Biology and Applied Math at University of Notre Dame
Contributions:70 commits, 40 PRs, 89 pushes in 1 month
djangopython
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.