Summary
William Hayes is a VP-level data sciences and digital technology leader with 20+ years driving AI, data engineering, and digital transformation across biopharma and life sciences. He has repeatedly moved organizations from bespoke analytics to production-grade, decision-support platforms—most recently cutting timelines by ~20% at Montai Therapeutics—while shepherding NDA-ready systems at Sage that supported a successful drug approval. A PhD computational molecular biologist who has led both startups and large R&D organizations, he blends deep bioinformatics and BEL-based knowledge representation work with pragmatic systems architecture and DevOps. Known for building high-performing cross-functional teams, he uniquely pairs domain science (text mining, graph analytics, bioNLP) with product-minded engineering to turn complex biological knowledge into operational insights. Based in Boston, he also maintains active stewardship of open-standard biology knowledge (BEL) and platform-focused open-source work.
13 years of coding experience
15 years of employment as a software developer
Ph.D Molecular Biology/Bioinformatics, Ph.D Molecular Biology/Bioinformatics at Georgia Institute of Technology