23andMe is looking for a quantitative scientist with extensive experience in statistical modeling of human genetics data to join our research team. You will leverage your expertise and work collaboratively with clinical and genetic scientists in order to build risk prediction models from 23andMe’s large-scale genetic and phenotypic datasets, with a focus on developing clinically useful risk prediction models that can be deployed to consumers and clinicians.

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

Who We Are

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 significant contributor to scientific advancement, uniting people with the common goal of improving health and deepening our understanding of DNA — the code of life.

What You’ll Do

Develop clinical risk prediction models by integrating genomic data with high-dimensional phenotypic profiles.
Leverage machine learning and statistical modeling techniques to advance the state-of-the-art in risk prediction.
Work collaboratively with members of Product, Engineering, and Clinical teams to deploy risk models in both clinical and direct-to-consumer settings.
Use a variety of non-23andMe datasets to validate model performance.
Develop and publish materials that demonstrate the utility of integrating genetics into clinical risk prediction in real-world settings.
Regularly present and communicate research to internal and external stakeholders.
Represent 23andMe at clinical and scientific conferences.

What You’ll Bring

PhD or MD/PhD in Statistics, Statistical Genetics, Computer Science or a related quantitative field.
Strong expertise in statistical genetics, demonstrated by prior work experience or excellent publication records.
Deep understanding of integrating genetics in a clinical setting, including polygenic risk scores.
Research experience using machine-learning and statistical modeling techniques to analyze large-scale human genetics and genomics datasets.
Expertise with data analysis, programming, and related concepts in Python, ideally working with packages such as PyTorch and NumPyro
Proven experience writing robust, well-tested code, and collaborating within a shared GitHub repository.
Outstanding interpersonal, verbal, and written communication skills.
Ability to work in a dynamic, team-oriented, and fast-paced environment.

Strongly Preferred

1-5 years of postdoctoral/industry experience
Bay area location, or willingness to relocate

About Us

23andMe, headquartered in California, is a leading consumer genetics and research company. The company’s mission is to help people access, understand, and benefit from the human genome. 23andMe has pioneered direct access to genetic information as the only company with multiple FDA authorizations for genetic health risk reports. The company has created the world’s largest crowdsourced platform for genetic research, with 80 percent of its customers electing to participate. 23andMe research participants consent to research conducted by 23andMe which is overseen by an independent third-party Institutional Review Board (IRB) regulated under the 'Common Rule' (45 CFR part 46). More information is available at www.23andme.com/research.

At 23andMe, we value a diverse, inclusive workforce and we provide equal employment opportunity for all applicants and employees. All qualified applicants for employment will be considered without regard to an individual’s race, color, sex, gender identity, gender expression, religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state or local laws. If you are unable to submit your application because of incompatible assistive technology or a disability, please contact us at accommodations-ext@23andme.com. 23andMe will reasonably accommodate qualified individuals with disabilities to the extent required by applicable law.

Pay Transparency

23andMe takes a market-based approach to pay, and amounts will vary depending on your geographic location. The salary range reflected here is for a candidate based in the San Francisco Bay Area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.

San Francisco Bay Area Base Pay Range

$165,000-$220,000

Scientist/Senior Scientist, Clinical Risk Prediction