Scott Fay is a seasoned informatics leader with 13 years of experience turning research-grade genomics and microbiome science into scalable biotech products. Based in Berkeley, he has led cross-functional teams from hands-on bioinformatics and ML pipelines to full Manufacturing Execution Systems, launching Ansa’s flagship 5kb DNA synthesis product on time and above spec. He blends deep scientific training (PhD in Integrative Biology) with software engineering rigor—driving CI, automated testing, containerized pipelines, and integrations across AWS, Tableau, Salesforce, and Benchling. At prior companies including Phylagen and Invitae he built production bioinformatics, ML, and sample-tracking systems that supported commercial launches and regulatory-grade lab operations. He also contributes to open-source projects through practical documentation improvements, helping users get help and onboard to complex bioinformatics tools. Known for focusing teams on critical product features while preserving engineering best practices, he accelerates delivery without sacrificing reproducibility or auditability.
13 years of coding experience
13 years of employment as a software developer
PhD Integrative Biology, PhD Integrative Biology at University of California, Berkeley
In-memory nucleotide sequence k-mer counting, filtering, graph traversal and more
Role in this project:
Technical Writer
Contributions:31 commits, 3 PRs, 18 comments in 1 day
Contributions summary:Scott primarily focused on improving the project's documentation. They added a new guide on how to get help, including detailed instructions on asking questions and reporting issues on GitHub. Additionally, they updated the README and the main documentation index, adding links and making style edits to improve clarity and user experience. This involved significant modifications to the documentation structure and content.
Contributions:17 pushes, 1 branch in 5 years 8 months
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