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 (59)
r10
linux10
data-visualisation10
graphic10
fm-index9
sequence-alignment9
ggplot9
sequencing9
bioinformatics9
infectious-diseases9
genomics9
python-modules9
dplyr8
grammar8
data-manipulation8
Programming languages (13)
Github contributions (5)
jdagilliland/bus-data
May 2017 - Oct 2025
Contributions:1 push, 1 branch in 8 years 6 months
jdagilliland/dotfiles-open
Jan 2015 - Mar 2020
Contributions:106 pushes, 2 branches in 5 years 2 months
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