Scientist, Population Genetics

Responsibilities

• Design, evolve, and implement state-of-the-art algorithms for genetic relationship and ancestry inference.
• Scale pedigree inference across millions of individuals by leveraging massive phased identity-by-descent data.
• Combine array-based genotyping and sequencing data to develop methods for tracing trait inheritance.
• Collaborate with product managers and software engineers to deploy customer-facing features.
• Communicate research findings regularly to both internal and external stakeholders.

Requirements

• Ph.D. in Population Genetics, Human Genetics, Statistical Genetics, or a related quantitative field.
• Strong expertise in population genetics demonstrated through prior work or publications.
• Research experience using machine learning and statistical modeling to analyze large-scale genomics datasets.
• Proficiency in the Python scientific ecosystem for data analysis, machine learning, and prototyping.
• Experience with collaborative version control and working in a fast-paced, team-oriented environment.

Preferred Qualifications

• Experience developing family pedigrees using genetic data from relatives.
• Experience working with sequencing data, such as whole-genome or exome data.
• Familiarity with modern software development practices, including automated testing, containerization, cloud computing, and CI/CD.
• Postdoctoral or industry research experience.

About the Company

23andMe is a leading consumer genetics and research company dedicated to helping people access, understand, and benefit from the human genome. Through the 23andMe Research Institute, the company leverages the world’s largest crowdsourced genetic database to drive scientific advancement and improve global health understanding.