Joshua Shapiro
Senior Data Scientist, Childhood Cancer Data Lab
Greater Philadelphia United States
Summary
👤
Senior🎓
Top SchoolJoshua Shapiro is a Senior Data Scientist at the Childhood Cancer Data Lab with 15 years of experience applying genomics, statistical genetics, and bioinformatics to large-scale genomic datasets. He holds a PhD in Evolutionary Genetics and blends deep expertise in association/linkage mapping, population genetics, and evolutionary biology with practical skills in next-generation sequence analysis and custom assay design. Joshua transitioned from academia—where he taught genomics, bioinformatics, and biostatistics and led research at Princeton and Bryn Mawr—to mission-driven data science focused on childhood cancer. He is comfortable moving between code, statistical methods, and wet-lab insight, which helps translate complex genomic signals into clinically relevant analyses. Based in Greater Philadelphia, he combines rigorous research training with hands-on data engineering to support reproducible, scalable analyses for translational research. An often-overlooked strength is his teaching background, which he leverages to communicate results clearly to both scientific and nontechnical stakeholders.
15 years of coding experience
17 years of employment as a software developer
West Windsor-Plainsboro High SchoolPhD, Evolutionary Genetics, PhD, Evolutionary Genetics at University of ChicagoBA, Biology, BA, Biology at Williams College
Stackoverflow
196reputation
156kreached
7answers
2questions
Github Skills (109)
python10
spatial-transcriptomics10
gene-expression10
atlas10
nextflow10
biodata10
differential-expression10
portal10
bioinformatics10
r9
rocker9
package-management9
notebook9
tidyverse9
reproducible-research9
Programming languages (12)
Github contributions (5)
AlexsLemonade/OpenScPCA-nf
Apr 2024 - Mar 2025
A workflow for running OpenScPCA analysis modules
Contributions:3 releases, 67 reviews, 115 PRs in 11 months
AlexsLemonade/training-modules
Sep 2019 - Jan 2023
A collection of modules that are combined into 1-5 day workshops on computational topics for the childhood cancer research community.
Contributions:8 releases, 540 reviews, 903 commits in 3 years 4 months
pythondaymachine-learningcancerchildhood
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