Jared Galloway is a bioinformatics specialist and data scientist with nine years of experience translating noisy biological data into reproducible, publication-ready analyses and visualizations. Based at Fred Hutch, he builds end-to-end pipelines and ML methods—ranging from Nextflow and Nextstrain deployments for genomic surveillance to neural-network epistasis models and scalable phylogenetic fitness estimators applied to millions of viral genomes. His work blends rigorous software engineering with product-minded design, producing intuitive visual tools (streamlit apps, feature-rich trees) and high-performance pipelines that have supported multiple publications. Jared also mentors researchers across skill levels and has driven best-practice data management for HPC and cloud environments, reflecting a rare combination of algorithmic depth and operational experience.
9 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Biology, Master of Science - MS, Biology at University of Oregon
A Nextflow pipeline to align, merge, and organize large PhIP-Seq datasets
Contributions:5 releases, 12 reviews, 104 commits in 2 years 7 months
workflownextflow-pipelinepipelineorganizenextflow
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