Coleman Harris is a Lead Data Engineer with nine years of experience melding biostatistics, bioinformatics, and production data engineering to deliver robust, scalable pipelines for sensitive healthcare and genomics data. He transitioned from academic research—earning a PhD in Biostatistics at Vanderbilt where he developed rigorous statistical methods and an R package for multiplexed imaging—to leading ETL and ML-driven analytics at NashBio and Decode Health. Coleman combines deep statistical expertise (Bayesian, spatial, time-series) with hands-on engineering in Python, SQL, and cloud-scale data tools to improve data quality and reproducibility. He also brings strong science communication skills from technical and content writing roles, translating complex methods into accessible documentation and product-ready outputs. An uncommon strength is his track record across lab, research, and production environments, enabling him to bridge domain science and engineering in regulated, high-stakes settings.
8 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD Biostatistics, Doctor of Philosophy - PhD Biostatistics at Vanderbilt University
Bachelor of Science (B.S.) cum laude Mathematics and Statistics, Bachelor of Science (B.S.) cum laude Mathematics and Statistics at The University of Alabama
Contributions:4 releases, 37 commits, 12 pushes in 1 month
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