Scientist, Population Genetics

About the role

Join our growing team to help people access, understand, and benefit from the human genome. 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.

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.

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.

Qualifications

• 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.

Skills

• Strong programming skills in Python and other relevant languages.
• Experience with genomics databases and tools.
• Knowledge of genetic algorithms and computational biology.
• Excellent problem-solving and analytical skills.

Benefits

San Francisco Bay Area location, or willingness to relocate.

Pay

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.