Nathan Johnson is a Senior Bioinformatics Engineer with 11 years of experience building production-grade NGS pipelines, algorithmic solutions, and data-quality tools across biotech and clinical settings. He has delivered cloud-native, fully automated Nextflow workflows at Spark Therapeutics that scaled vector and plasmid characterization and produced interactive browser reports for non-technical users. At Illumina he applied machine learning and statistical modeling to sequencing problems, authored a Python package for QC across hundreds of genomes, and contributed to a genome segmentation model that led to a patent application. Nathan combines a Ph.D. in physics and hands-on lab troubleshooting to bridge instrument-level issues with software remediation, ensuring data integrity from sequencing through analysis. He also enjoys teaching programming and bioinformatics to non-programmers and pursues niche interests like applying neural networks to ancient cuneiform translation.
11 years of coding experience
16 years of employment as a software developer
University of California San Diego
Bachelor's degree, Physics and Classical Studies, Bachelor's degree, Physics and Classical Studies at University of Pennsylvania
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