Qing Zhang is a Staff Bioinformatics Scientist with eight years' experience translating genomics research into practical sequencing and diagnostic solutions, currently supporting assay development at Illumina in Cambridge. Trained at Harvard (MS Computational Biology) and experienced at the Broad Institute and Dana-Farber, Qing has moved pipelines from exome to whole-genome scale, benchmarked somatic variant callers, and applied multi-omics to increase diagnostic yield in rare and undiagnosed disease. Their work spans algorithm development, scalable cloud-based computation, and collaboration with clinical partners and patient alliances to enable pre-PDP projects. A published researcher with a long-standing interest in characterizing genomic variation, Qing pairs rigorous statistical thinking with hands-on engineering to drive translational impact. An unusual personal touch: they cite a philosophy of service and joy on their GitHub, reflecting a collaborative, mission-driven approach to scientific software.
8 years of coding experience
6 years of employment as a software developer
Bachelor's degree Biological Science, Bachelor's degree Biological Science at Xi'an Jiaotong-Liverpool University
Master of Science - MS Computational Biology and quantitative genetics, Master of Science - MS Computational Biology and quantitative genetics at Harvard University
Contributions:6 commits, 1 PR, 5 pushes in 1 year 7 months
golangsigned-urlsignedgdcupdate
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.