Scientist/Senior Scientist, Clinical Risk Prediction

Role Overview

Join our research team as a quantitative scientist to build risk prediction models from 23andMe's large-scale genetic and phenotypic datasets. Collaborate with clinical and genetic scientists to develop clinically useful risk prediction models. Leverage expertise in statistical modeling of human genetics data to advance biomedical research and transform healthcare.

What You Will Do

Develop clinical risk prediction models by integrating genomic data with high-dimensional phenotypic profiles. Work with Product, Engineering, and Clinical teams to deploy risk models in clinical and direct-to-consumer settings. Use non-23andMe datasets to validate model performance and develop materials to demonstrate the utility of integrating genetics into clinical risk prediction.

Why It Might Be a Fit

PhD or MD/PhD in Statistics, Statistical Genetics, Computer Science, or a related quantitative field. Strong expertise in statistical genetics, machine learning, and data analysis. Experience with Python, PyTorch, and NumPyro. Ability to work in a dynamic, team-oriented environment.

Requirements

• PhD or MD/PhD in Statistics, Statistical Genetics, Computer Science, or a related quantitative field
• Strong expertise in statistical genetics
• Research experience using machine-learning and statistical modeling techniques
• Expertise with data analysis, programming, and related concepts in Python
• Proven experience writing robust, well-tested code
• Outstanding interpersonal, verbal, and written communication skills

Benefits

• Market-based pay
• Base pay range: $165,000-$220,000