Ryan Schubert
Clinical Data Scientist
Greater Chicago Area United States
Summary
👤
Senior🎓
Top SchoolRyan Schubert is a Clinical Data Scientist with eight years of experience at the intersection of genetics, statistics, and software engineering, currently analyzing psychiatric research data at Rush University Medical Center. He holds a BS in Biology & Bioinformatics and an MS in Applied Statistics, and pairs deep domain knowledge with full-stack development skills across Python, JavaScript, R, SQL, MongoDB, and PySpark. His work at Loyola included pipeline automation, large-scale genetic association studies, and multiple conference presentations and publications on ancestry-aware methods and protein prediction for trait mapping. Equally comfortable writing analysis pipelines and production code, he brings practical ML experience (TensorFlow) and a reproducible-research mindset evident from his bioinformatics contributions. Notably, he has benchmarked local ancestry tools and improved elastic-net predictive workflows, showing a knack for improving both statistical rigor and engineering efficiency.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Biology & Bioinformatics, Bachelor of Science - BS, Biology & Bioinformatics at Loyola University Chicago
Github Skills (8)
rna-seq9
gwas8
computational-biology7
java3
r-package3
r2
lamp2
python2
Programming languages (5)
Github contributions (5)
WheelerLab/QTPipe
Jun 2018 - Feb 2020
Contributions:233 pushes, 1 branch, 1 comment in 1 year 8 months
breecoffey/RNA-Seq-Splicing-Analysis-Pipeline
Feb 2018 - Apr 2018
Computational biology pipeline that quantifies RNA splicing and performs sQTL mapping
Contributions:56 commits, 3 PRs, 34 pushes in 2 months
computational-biology
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