Paul Tang is a co-founder and technical leader with 12 years' experience at the intersection of genomics and diagnostics, currently leading AccuraGen’s product development and market strategy to improve rare allele detection in cell-free DNA. He built and managed high-throughput Illumina operations and informatics at UCSF—overseeing 3 HiSeqs, SOPs, LIMS, and large-scale studies—before translating that bench-to-business expertise into a startup. A PhD geneticist and former postdoc, he has co-authored a dozen+ papers and engineered cost-efficient targeted sequencing approaches and visualization workflows. Paul also contributes to open-source genomics tooling (notably enhancements to the widely used bcbio-nextgen pipeline for RNA‑seq and fusion detection), reflecting hands-on backend skills in production bioinformatics. He combines scientific rigor, operational scaling experience, and commercial insight into regulatory and reimbursement landscapes—an uncommon blend that accelerates clinical assay translation.
Validated, scalable, community developed variant calling, RNA-seq and small RNA analysis
Role in this project:
Backend Developer
Contributions:16 commits, 12 comments, 7 issues in 10 months
Contributions summary:Paul primarily contributed to the bcbio-nextgen pipeline by implementing and modifying core functionalities related to RNA-seq analysis. Their work included adding support for fusion transcript detection using the Oncofuse tool, refining the handling of FASTQ/BAM files and pair identification, and modifying file paths. The user also addressed issues with installation and output visualization within the documentation.
CloudBioLinux: configure virtual (or real) machines with tools for biological analyses
Contributions:2 commits in 4 months
analysesmachinesbioinformaticsconfigurebiological
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