Anthony Barente is a Senior Data Scientist with 8 years of experience applying computational and statistical methods to proteomics, phosphoproteomics, and cell signaling to accelerate drug discovery and biomarker identification. He combines deep domain expertise from a PhD in Genome Sciences with hands-on engineering—building AWS applications, R Shiny GUIs, Snakemake pipelines, and Airflow-powered Python/Django tooling—to turn large mass spectrometry and NGS datasets into actionable insights. At Bristol Myers Squibb he leads omics investigations for mechanism-of-action and liability assessment, and at Ginkgo he scaled automated analysis for thousands of daily instrument samples. He has a track record of shipping performant research software (pyAscore, Cython accelerations) and translating deep learning and statistical methods into production workflows. Colleagues rely on him to bridge wet-lab questions and robust data engineering, often surfacing biologically meaningful signals that aren’t obvious from raw high-throughput data alone.
8 years of coding experience
9 years of employment as a software developer
Bachelor's degree, Cellular and Molecular Biology, Bachelor's degree, Cellular and Molecular Biology at Western Washington University
Doctor of Philosophy (PhD), Genome Sciences: Advanced Data Science Option, Doctor of Philosophy (PhD), Genome Sciences: Advanced Data Science Option at University of Washington - School of Medicine
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