Jake Gockley is a Senior Principal Scientist with a decade of experience melding bench science and computational genetics to build end-to-end high-throughput sequencing and functional genomics pipelines. He led development of a scalable enhancer screen that assayed over 100,000 candidate sequences and has driven integrative analyses across 10x Chromium WGS, RNA-Seq, and CyTOF data in cancer cohorts. His expertise spans SNVs, INDELs, CNVs and complex structural variant analysis, and he repeatedly translates large-scale genomics readouts into actionable biomarker insights for translational and clinical studies. Comfortable in Python and R and increasingly focused on TensorFlow/Keras, he is expanding into deconvolutional and recurrent neural network applications for multi-modal biological data. Based in Seattle, Jake pairs deep experimental know-how from his Yale Ph.D. with production-focused computational rigor developed at Regeneron, Sage Bionetworks, and Celgene. An uncommon strength is his track record of processing billions of reads into reproducible discovery pipelines that bridge evolutionary biology and human disease.
10 years of coding experience
13 years of employment as a software developer
Bachelor of Science (BS) Biology General, Bachelor of Science (BS) Biology General at University of Vermont
Contributions:4 PRs, 130 pushes, 2 branches in 4 years 1 month
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Jake Gockley - Senior Principle Scientist at Regeneron