Summary
Samir Zaim is a PhD statistician and biomedical data scientist with eight years of experience translating high-dimensional, multimodal biological and clinical data into actionable insights and scalable products. Currently a Supervisor of Statistics at the Allen Institute, he has led cross-functional teams to design and execute immunology and oncology studies, drive technical roadmaps, and shepherd high-priority manuscripts from concept to publication. His work spans end-to-end pipelines—data wrangling, feature engineering, statistical inference, ML, deep learning and LLMs—with demonstrated success in cutting compute costs 4× for epigenetics workflows and delivering NIH- and DoD-supported biomarker models. Samir pairs technical depth with strong science communication, presenting to executives and clinical boards, teaching workshops, and contributing to publications and a U.S. patent application. Based in Seattle, he combines academic rigor with product-minded leadership, often converting ambiguous research questions into reproducible, deployable analytics.
8 years of coding experience
8 years of employment as a software developer
The University of Arizona
Colegio Internacional de Carabobo (Venezuela)
Bachelor of Arts (BA) Mathematics/Statistics, Bachelor of Arts (BA) Mathematics/Statistics at Carleton College
English, Spanish, French, Arabic