James Chuang

South San Francisco, California, United States
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Summary

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Rockstar
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.
code9 years of coding experience
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Github Skills (19)

package-management10
python10
machine-learning10
conda10
ml10
deep-learning10
tensorflow10
deep-neural-networks10
neural-network10
bioinformatics10
bioconda9
conda-forge6
snakemake6
ggplot4
visualization3

Programming languages (4)

ShellC++RPython

Github contributions (5)

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Minimal Mistakes GitHub Pages site starter
Contributions:17 pushes in 5 years 4 months
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winston-lab/mnase-seq

May 2017 - Jul 2020

Contributions:174 commits, 60 pushes, 1 branch in 3 years 2 months
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