Scientist/senior Scientist, Clinical Risk Prediction

23andMe

San Francisco Bay Area, US
Base: $165,000-$220,000; bonus/equity: not specifi...
Statistical genetics expertise
Polygenic risk scores knowledge
Python programming skills
The role involves building clinically useful risk prediction models by integrating genomic data with high-dimensional phenotypic profiles from a database of over 11 million customers

Job Summary

  • The role involves building clinically useful risk prediction models by integrating genomic data with high-dimensional phenotypic profiles from a database of over 11 million customers.
  • Candidates must leverage machine learning and statistical modeling techniques to advance the state-of-the-art in risk prediction for both clinical and direct-to-consumer settings.
  • The position requires publishing materials that demonstrate the utility of integrating genetics into clinical risk prediction and representing the company at scientific conferences.

Matching Summary

The role involves building clinically useful risk prediction models by integrating genomic data with high-dimensional phenotypic profiles from a database of over 11 million customers.

Salary

Base: $165,000-$220,000; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • Statistical genetics expertise
  • Polygenic risk scores knowledge
  • Python programming skills
  • Machine learning modeling
  • Large-scale genomics data analysis

Nice-to-have

  • PyTorch and NumPyro packages
  • GitHub collaboration experience
  • Conference presentation skills
  • Dynamic team environment adaptability

Key Requirements

  • PhD or MD/PhD in Statistics, Statistical Genetics, or Computer Science
  • Strong publication record in statistical genetics
  • 1-5 years postdoctoral or industry experience preferred
  • Bay Area location or willingness to relocate

Work Rights

Not specified

Tailored Resume

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