James Chuang is a Senior Bioinformatics Scientist with nine years of experience translating complex genomic and molecular datasets into actionable insights for oncology and biomanufacturing. He builds reproducible analysis pipelines and statistical software using Python, R, Unix tooling, and workflow orchestration on clusters and cloud platforms to support assay development, pooled CRISPR screens, and digital PCR modeling. His background spans academic genomics at Harvard—analyzing TSS-seq, NET-seq, ChIP-seq and related assays—to industry roles at Freenome, 64x Bio, and now BillionToOne, giving him a rare blend of mechanistic understanding and production-grade data engineering. James is skilled at scientific communication and technical writing, enabling cross-functional translation between wet lab teams and engineering. He often couples Bayesian modeling with automated pipelines to turn noisy experimental readouts into robust metrics for decision making. Based in South San Francisco, he brings deep domain knowledge in transcriptional profiling and practical experience improving viral productivity and liquid biopsy assay performance.
9 years of coding experience
1 year of employment as a software developer
Johns Hopkins University
Doctor of Philosophy - PhD Bioengineering and Biomedical Engineering, Doctor of Philosophy - PhD Bioengineering and Biomedical Engineering at Boston University
Contributions:174 commits, 60 pushes, 1 branch in 3 years 2 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.