Scientist / Senior Scientist, Machine Learning for Health Risk Prediction

Palo Alto (HQ)onsitesenior$165K$220K

Posted 4mo ago · via Workday

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.…

Read the full description on 23andMe's site →

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reqspace match rubric

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1

Skills match

For this role: python, github, teams

2

Level fit

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3

Domain experience

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4

Recency

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5

Location fit

This role is based in Palo Alto (HQ). We weight your proximity and willingness to relocate.

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Skills in this role

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