Qiang Gong
Summary
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SeniorQiang Gong is a Senior Computational Biologist with over a decade of hands-on experience in single-cell and bulk NGS data analysis, currently building and maintaining production pipelines at 10x Genomics. He specializes in data integration, sample multiplexing, cell calling, and automated cell-type annotation, and has applied these skills across products including Single Cell Gene Expression, Immune Profiling, CellPlex, and Single Cell ATAC. His research background includes identifying biomarkers in non-Hodgkin lymphoma, developing a Random Forest method to call somatic mutations without matched normals, and characterizing T-cell receptor repertoires from RNA-seq. Comfortable with R, Python, and Bash, he routinely handles large, heterogeneous clinical datasets and contributes tools on GitHub such as somaticID and MixcrFilter. Based in the San Francisco Bay Area, he blends deep genomics expertise with product-focused engineering to translate complex biology into robust, manufacturable workflows. An uncommon asset is his dual training in bioengineering and English, which sharpens both his technical rigor and scientific communication.
10 years of coding experience
Github Skills (1)
filter6
Github contributions (5)
littlegq/MixcrFilter
Jan 2017 - Jan 2018
Contributions:24 commits, 1 PR, 23 pushes in 11 months
tcrclonesfilter
littlegq/somaticID
Mar 2016 - May 2018
Contributions:2 releases, 6 PRs, 69 pushes in 2 years 2 months
pipelinesomatic-mutationsnormalbioinformaticsmutations
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