The scientist in this role will work within our team of statistical geneticists and apply scientific expertise towards creating and using insights from human genetic data for various applications, including therapeutic target discovery, medical record analysis, and phenotype prediction. As part of the role, you will: • Model phenotypes of interest to derive genetic insights and therapeutic hypotheses. • Analyze genetic variants associated with specific inherited traits, and across multiple traits of interest. • Integrate human genetics and genomics datasets leveraging machine learning and statistical modeling techniques. • Develop or apply methodology for the statistical analyses of large-scale genomic and phenotypic datasets. • Work collaboratively with members of the Research, Product, and Engineering teams to develop a research platform for therapeutics target discovery. • Regularly present and communicate research to internal and external stakeholders. • Represent the 23andMe research team at scientific conferences. You must have a deep understanding of statistical and/or population genetics, with a track record of scientific achievement. Our team is very collaborative, and the ability to communicate ideas and results to other scientists and non-scientists in the context of business objectives is key. You should have a demonstrated ability to clearly and effectively communicate with a wide range of internal and external audiences, as well as experience building, mentoring, and leading teams of scientists. Scientific Expertise: • PhD in Statistics, Statistical Genetics, Computational Biology, Computer Science or a related quantitative field. • Strong expertise in statistical genetics and/or computational biology, demonstrated by prior work experience or excellent publication records. • Research experience using machine-learning and statistical modeling techniques to analyze large-scale human genetics and genomics datasets. • Experience writing robust code in a shared development environment. • Proficiency working with very large datasets in R and Python and/or other data analysis languages. • 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. • Research experience in developing and applying methodology for statistical fine-mapping and variant-to-gene mapping from genetic associations. • Bay area location, or willingness to relocate 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 $145,000-$200,000