Joshua 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 School
PhD, Evolutionary Genetics, PhD, Evolutionary Genetics at University of Chicago
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