Nicolas De Jay is a computational biologist and data scientist in Montreal with 13 years of experience translating multi-omics data into actionable insights for early drug discovery and biomarker design. He blends deep domain expertise in cancer epigenetics and NGS with hands-on software engineering, having built R/Bioconductor packages, high-throughput pipelines that processed 1,400+ samples, and internal tools to streamline omics analysis at Bristol Myers Squibb. As a consultant he also architects and deploys bare-metal HPC clusters for research groups, supporting production environments for 50+ users and improving storage, security, and reproducibility. His academic work produced 20+ publications on pediatric brain tumors and resulted in practical tooling (raptor, ripe, CopyNumber450K) that bridged research and clinical workflows. Known for making complex analyses accessible via interactive visualizations and packaged workflows, he combines rigorous research instincts with pragmatic infrastructure automation.
13 years of coding experience
3 years of employment as a software developer
DEC Health Sciences, DEC Health Sciences at Collège Jean-de-Brébeuf
Bachelor of Science (BSc) Bioinformatics, Bachelor of Science (BSc) Bioinformatics at Université de Montréal
Doctor of Philosophy (PhD) Human Genetics, Doctor of Philosophy (PhD) Human Genetics at McGill University
Contributions:238 commits, 206 pushes, 4 branches in 8 years 9 months
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