Matthew Jobin
Lead Bioinformatics Computational Engineer
California, United States
Summary
👤
Senior🎓
Top SchoolMatthew Jobin is a Lead Bioinformatics Computational Engineer with a PhD and roughly two decades of experience building high-performance tools for genomics, population genetics, and NGS analysis. He has led production pipelines and custom tooling across academia and industry—from ancient DNA population studies and MRD detection to GWAS, inbreeding analysis, and breed classification—often combining deep learning, Rust for high-speed parsing, and scalable AWS deployments. Known for translating wet-lab needs into robust software, he has integrated LIMS, automated complex workflows, and developed imputation and haplogroup-calling tools used in published population-genetics work. Based in California, he brings a rare mix of hands-on lab experience and systems engineering, and has a track record of shipping reproducible, research-grade pipelines that bridge computational rigor with practical lab workflows.
10 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy (PhD), Physical and Biological Anthropology, Doctor of Philosophy (PhD), Physical and Biological Anthropology at Stanford University
Github Skills (18)
pandas9
manipulation9
python9
frame9
data-structures8
data-analysis8
dataframes8
data-science8
data-manipulation7
bioinformatics6
bam4
genomics4
api3
sam2
htslib2
Programming languages (2)
Github contributions (5)
mjobin/Plexus
Jan 2016 - Sep 2021
Contributions:134 pushes, 3 branches in 5 years 9 months
mjobin/Imputor
Sep 2016 - Mar 2024
Contributions:63 pushes, 3 branches, 1 comment in 7 years 7 months
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