Jason Gilliland
Computational Biologist
New Hampshire, United States
Summary
👤
Senior🎓
Top SchoolJason Gilliland is a computational biologist and software engineer with 14 years of experience turning complex genomics and high-throughput sequencing data into actionable insights across pharma and research. He has led cross-functional engineering teams and productized bioinformatics pipelines, migrating workloads from on-prem HPC to cloud platforms like AWS, Seven Bridges, and DNAnexus while automating deployments with Cromwell, Nextflow, and Jenkins. At Merck he architected scalable data models and visualization tools (R-Shiny + ScanPy) for single-cell and other omics modalities, and now applies that expertise to clinical and diagnostic workflows at Pillar Biosciences. Jason blends deep statistical rigor with practical engineering—optimizing large database queries, managing multi-hundred-terabyte data transfers, and building reproducible analysis packages for HPC. Based in New Hampshire, he brings a curious, interdisciplinary streak (from linguistics and tin whistle to bonsai) that fuels creative problem solving and user-focused scientific tools.
14 years of coding experience
6 years of employment as a software developer
High School Diploma, High School Diploma at Boston University AcademyMaster’s Degree, Biomedical/Medical Engineering, Master’s Degree, Biomedical/Medical Engineering at Drexel UniversityBachelor of Arts, Biology; Neuroscience, Bachelor of Arts, Biology; Neuroscience at University of Pennsylvania
Github Skills (77)
r10
linux10
data-visualization10
data-visualisation10
grammar10
genomics9
fm-index9
bioinformatics9
sequence-alignment9
sequencing9
infectious-diseases9
dplyr8
genetic8
parser8
vim8
Programming languages (14)
Github contributions (5)
jdagilliland/dotfiles-open
Jan 2015 - Mar 2020
Contributions:106 pushes, 2 branches in 5 years 2 months
jdagilliland/ggplot2
Jul 2015 - Aug 2017
Contributions:3 pushes, 1 branch in 2 years
grammar-of-graphicsgrammargraphics
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