Brian Reilly

Senior Software Engineer at Foundation Medicine

Canton, Massachusetts, United States
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Summary

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Brian Reilly is a senior software engineer based in Canton, MA, blending over two decades of software experience with a focused practice in biological and life sciences engineering. He brings full-stack fluency across Java, JavaScript/TypeScript, Python, Scala and modern cloud platforms (GCP, Azure) to deliver sustainable, high-quality systems through agile, iterative development. Currently at Foundation Medicine, he contributes both to production services and to upstream scientific tooling, with concrete open-source work on Broad Institute’s Cromwell workflow engine—adding data access identity features, improving DRS support, and hardening requester-pays handling. Known for meticulous attention to data integrity and refactoring, he pairs deep technical craftsmanship with a collaborative, knowledge-sharing approach. Humble yet continuously curious, he seeks challenging problems at the nexus of software and life sciences where engineering rigor drives scientific impact.
code9 years of coding experience
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Github Skills (12)

scala10
bioinformatics10
work-flow10
workflow-engine10
cloud-computing10
exec10
dockers9
docker9
gcp8
testing8
java7
javas7

Programming languages (11)

HCLSmartyTypeScriptJavaShellScalaJavaScriptJupyter Notebook

Github contributions (5)

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broadinstitute/cromwell

Feb 2021 - Oct 2022

Scientific workflow engine designed for simplicity & scalability. Trivially transition between one off use cases to massive scale production environments
Role in this project:
userBack-end Developer
Contributions:4 releases, 289 reviews, 95 commits in 1 year 8 months
Contributions summary:Brian contributed to the Cromwell workflow engine by updating the version numbers, demonstrating maintenance of the project's release cycle. They also updated a comment related to base64-encoded MD5 checksums, suggesting involvement in data integrity and file handling. Furthermore, the user implemented new functionality for workflow options, adding data access identity features, and updated requester-pays error detection within the system. The user also updated the system to copy workflow labels to TES tags. Finally, the user contributed to the DRS system and performed refactoring to improve the engine.
casestransitionbioinformaticsworkflow-executioncommon-workflow-language
Terra UI automated prod deploy service
Contributions:7 reviews, 12 PRs, 6 pushes in 3 years 5 months
prodterra-uiterraterraform
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