Coleman Harris

Lead Data Engineer

Nashville-Davidson, Tennessee, United States
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Summary

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Senior
🎓
Top School
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.
code8 years of coding experience
job7 years of employment as a software developer
bookDoctor of Philosophy - PhD Biostatistics, Doctor of Philosophy - PhD Biostatistics at Vanderbilt University
bookBachelor of Science (B.S.) cum laude Mathematics and Statistics, Bachelor of Science (B.S.) cum laude Mathematics and Statistics at The University of Alabama
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Github Skills (17)

r-package9
nmf9
resampling9
sampling9
package9
cran9
imaging8
r8
journal8
open-access7
creative-commons6
academia6
multiplex2
region2
image-data2

Programming languages (3)

RHTMLPython

Github contributions (5)

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ColemanRHarris/mxnorm

Sep 2021 - Jun 2022

R package to normalize multiplexed imaging data.
Contributions:1 release, 159 commits, 6 PRs in 8 months
r-packagecranimagingnmfmultiplexed-imaging
nashbio/gsummarize

Jun 2022 - Jul 2022

Contributions:4 releases, 37 commits, 12 pushes in 1 month
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Coleman Harris - Lead Data Engineer