Paul Billing-ross is a Software Architect with a decade of experience building cloud-native pipelines and platforms for large-scale genomics, including petabyte-scale whole-genome sequencing for the VA Million Veteran Program. He has designed and operated production sequencing workflows on DNAnexus and Google Cloud, automated deployments with Terraform and Chef, and authored tooling—from a Python "sliders" package to workflow deployment utilities—that smooth data ingestion and QC at scale. At Stanford Bioinformatics he bridged research and engineering, translating complex lab processes into reproducible, containerized workflows and BigQuery/Pandas analytics. His background in genome sciences (MS, Cornell) and hands-on research gives him a rare blend of statistical genetics insight and systems engineering rigor. Based in Portland, he pairs practical cloud architecture skills with habit of documenting and automating reproducible clinical and research pipelines. An unassuming plus: he started in customer-facing technical support at Apple, which informs his focus on clear runbooks and empathetic stakeholder communication.
10 years of coding experience
11 years of employment as a software developer
Bachelor's Degree, Bioinformatics & Genomics, 3.87, Bachelor's Degree, Bioinformatics & Genomics, 3.87 at Arizona State University
Master of Science (M.S.), Genome Sciences/Genomics, 3.81, Master of Science (M.S.), Genome Sciences/Genomics, 3.81 at Cornell University
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Paul Billing-ross - Software Architect at Stanford School of Medicine