Sivan Yair is a computational biologist and translational research scientist with 8 years of experience leveraging clinical and molecular real-world data to de-risk and accelerate oncology drug development. She develops biomarkers for indication expansion, probes molecular mechanisms of response and resistance, and identifies opportunities to improve standards of care, combining large-scale genomic analysis with rigorous statistical modeling. After a PhD in Population Biology from UC Davis and roles in academia, she transitioned to industry roles at Color and Tempus where she builds reproducible computational pipelines and applies real-world evidence to inform therapeutic strategies. Sivan’s public GitHub work reflects her academic roots in population biology, underscoring a rare blend of ecological thinking and translational genomics that informs creative approaches to complex clinical problems.
7 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Population Biology, Doctor of Philosophy (Ph.D.) Population Biology at University of California, Davis
Bachelor’s Degree Biology General, Bachelor’s Degree Biology General at William & Mary
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Sivan Yair - Senior Scientist I, Translational Research