Allison Seiden
Analyst at IQVIA
City of New Rochelle, New York, United States
Summary
👤
Senior🎓
Top SchoolAllison Seiden is an analyst and data scientist with a combined BS/MS in Applied Mathematics and Statistics from Johns Hopkins and nine years of analytical experience grounded in bioinformatics and healthcare data. Since 2020 she has applied Python, pandas, and large-scale data processing at IQVIA, building on prior research roles at Mount Sinai where she analyzed multi-terabyte genetic datasets and co-authored a Human Mutation paper. She publishes tools and scripts that automate data workflows—one published Python package classifies genetic mutations—and has translated complex genomics analyses into publicly consumable resources. Comfortable mentoring and teaching (Girls Who Code) as well as collaborating with faculty, she bridges rigorous statistical methods with production-oriented data engineering. Based in New Rochelle and seeking opportunities in NYC, she brings a research-first mindset to commercial analytics, pairing domain expertise in genetics with practical deployment skills. An early career detail worth noting: she managed and transformed 6.5 TB of genetic data during a summer fellowship, demonstrating capacity for high-volume, reproducible analysis.
9 years of coding experience
Johns Hopkins UniversityNew Rochelle High School
Github Skills (1)
testing3
Programming languages (2)
Github contributions (5)
allisonseiden/sorting_hat
Aug 2018 - Aug 2018
Contributions:35 commits, 31 pushes, 1 branch in 8 days
allisonseiden/portfolio
Jun 2017 - Sep 2017
Contributions:68 pushes, 2 branches in 2 months
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