Scientist, Population Genetics

23andMe Research Institute • Palo Alto, CA

1d • Onsite

About The Position

23andMe is looking for a quantitative scientist with extensive experience in population genetics and statistical modeling of human genetics data to join our R&D team. You will leverage your expertise and work collaboratively with scientists, software engineers, and product managers to build out consumer data products that illuminate the story of human interconnectedness, exploring everything from immediate family lineages to deep human history, as it relates to both ancestry and health. With the world’s largest database of more than 11 million research-consented customers, 23andMe is at the forefront of using genetics to transform the understanding of human connection and health. Join our growing team to help people access, understand, and benefit from the human genome.

Requirements

• Ph.D. in Population Genetics, Human Genetics, Statistical Genetics, or a related quantitative field (e.g., Biology, Bioinformatics, Computer Science, Statistics).
• Strong expertise in population genetics, demonstrated by prior work experience and/or publications.
• Research experience using machine-learning and statistical modeling techniques to analyze large-scale human genetics and genomics datasets.
• Broad expertise in the Python scientific ecosystem, spanning data analysis, machine learning, plotting, prototyping, and collaborative version control.
• Outstanding interpersonal, verbal, and written communication skills.
• Ability to work in a dynamic, team-oriented, and fast-paced environment.

Nice To Haves

• Experience developing family pedigrees using genetic data from relatives.
• Experience working with sequencing data, such as whole-genome and/or exome data.
• Experience applying modern software development practices, including some of the following: automated testing, containerization, cloud computing, and CI/CD.
• Some postdoctoral or industry experience.
• San Francisco Bay Area location, or willingness to relocate.

Responsibilities

• Design, evolve, and implement state-of-the-art algorithms for genetic relationship and ancestry inference.
• Scale pedigree inference across millions of individuals and many generations by leveraging massive phased identity-by-descent data.
• Synergistically combine array-based genotyping and sequencing data in your work.
• Develop methods enabling individuals to trace trait inheritance across their pedigrees.
• Collaborate with product managers, software engineers, and others to deploy customer features.
• Regularly present and communicate research to internal and external stakeholders.

Benefits

• The company offers a market-based approach to pay, with amounts varying by geographic location.
• The salary range for a candidate based in the San Francisco Bay Area is $145,000-$200,000.
• Starting pay will be determined by job-related skills, experience, qualifications, work location, and market conditions.
• These ranges may be modified in the future.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree