Alessandra Valcarcel is a Senior Data Scientist in San Francisco with a PhD in Biostatistics from the University of Pennsylvania and eight years of experience translating complex biomedical data into actionable insights. She combines classical statistical rigor with modern machine learning, honed through neuroimaging research and multi-modal analysis during her doctoral work. At Genentech she has progressed from Statistical Scientist to Senior Data Scientist, applying principled modeling to drug-development and translational science problems. Her background spans experimental design, causal inference, and imaging-derived feature discovery, making her adept at bridging methodological development and applied clinical questions. Fluent in Spanish and experienced in collaborative academic and industry teams, she brings both deep technical expertise and strong communication skills to multidisciplinary projects. An inquisitive researcher at heart, she often pursues novel feature-exploration strategies that reveal clinically meaningful patterns not captured by off-the-shelf pipelines.
8 years of coding experience
9 years of employment as a software developer
Spanish, Spanish at Universidad de Granada
Bachelor of Arts (B.A.), Statistics (Honors) and Biology, Bachelor of Arts (B.A.), Statistics (Honors) and Biology at University of Connecticut
Master of Science (M.S.), Biostatistics, Master of Science (M.S.), Biostatistics at University of Pennsylvania
Contributions:1 PR, 182 pushes, 1 branch in 2 years 8 months
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