Startups · AI

Scientist / Senior Scientist, Machine Learning for Health Risk Prediction

23andMe · Palo Alto (HQ) · On-site

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About 23andMe

23andMe offers DNA testing with the most comprehensive ancestry breakdown, personalized health insights and more. Backed by NEA, GV and Sapphire.

About the role

Build predictive models of health outcomes by integrating genomic data with high-dimensional, longitudinal phenotypic data, including electronic health records (EHR). Apply time-to-event and survival modeling to predict not just "if" but "when" health events are likely to occur.

More about this role

23andMe is hiring a quantitative scientist to build predictive models of human health from large-scale genetic, medical, and real-world data. In this hands-on, individual-contributor role, you'll design, develop, and validate risk-prediction models that combine genetic signal with rich EHR and other phenotypic data to predict the incidence, timing, and drivers of health outcomes. We're looking for someone to advance the state of the art of health risk prediction, integrating and extending beyond traditional GWAS and polygenic prediction in a real-world application.

With the world’s largest database of more than 11 million consented research participants, 23andMe is at the forefront of using human genetics to advance biomedical research and transform healthcare. Join us in helping people access, understand, and benefit from the human genome.

We are a group of individuals passionate about genetic discovery. 23andMe Research Institute is a nonprofit medical research organization that enables people everywhere to access their genetic information, learn about themselves, and participate in the world’s largest crowdsourced research initiative. The Institute aims to be the world’s most...

Read the full posting on 23andMe's site ↗

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