Scientist I/II, Statistical Geneticist

23andMe•Palo Alto, CA

4d•Onsite

About The Position

23andMe is seeking a talented research scientist in statistical genetics to join their world-class research team. The scientist will apply expertise to create and utilize insights from human genetic data for applications such as therapeutic target discovery, medical record analysis, and phenotype prediction. This role involves modeling phenotypes, analyzing genetic variants, integrating genetic and genomics datasets using machine learning and statistical modeling, and developing or applying methodologies for large-scale genomic and phenotypic data analysis. The position requires collaboration with Research, Product, and Engineering teams to build a research platform for therapeutics target discovery, and regular communication of research findings to internal and external stakeholders, including representation at scientific conferences.

Requirements

Deep understanding of statistical and/or population genetics, with a track record of scientific achievement.
Ability to communicate ideas and results to other scientists and non-scientists in the context of business objectives.
Demonstrated ability to clearly and effectively communicate with a wide range of internal and external audiences.
Experience building, mentoring, and leading teams of scientists.
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.

Nice To Haves

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.

Responsibilities

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.