Qing Li is a Bioinformatics Data Analyst II with over a decade of experience designing and maintaining NGS pipelines and custom tools to extract biological insight from large sequencing datasets. Holding a PhD in Bioinformatics from the University of Utah, Qing blends statistical theory and machine learning to rigorously test and evaluate complex analyses while leading cross-disciplinary projects at the Huntsman Cancer Institute. Previously a postdoc and research assistant, Qing has driven practical applications—from improving genome annotation pipelines to discovering candidate therapeutics for chronic pain—and authored multiple peer-reviewed manuscripts. Known for mentoring students and translating research-grade methods into robust, reusable pipelines, Qing brings both deep domain expertise and a track record of operationalizing novel bioinformatics approaches.
13 years of coding experience
5 years of employment as a software developer
The University of Utah
Master’s Degree, Molecular Biology, 3.8/4.0, Master’s Degree, Molecular Biology, 3.8/4.0 at Central Michigan University
Contributions:2 pushes, 1 branch in 3 years 4 months
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