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23andMe Research Institute is looking for a quantitative scientist with a Ph.D. in Population Genetics or a related field to enhance our R&D team. The role involves designing algorithms for genetic relationship inference and collaborating with cross-functional teams to deploy features that benefit consumers.
Ideal candidates should possess strong expertise in population genetics and machine-learning techniques, with proficiency in Python. This role offers the opportunity to work at the forefront of human genetics research in a dynamic environment.
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.
23andMe values a diverse, inclusive workforce and provides equal employment opportunity for all applicants and employees. All qualified applicants for employment will be considered without regard to race, color, sex, gender identity, gender expression, religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, military or veteran status, or any other basis protected by federal, state, or local laws. If you are unable to submit your application because of incompatible assistive technology or a disability, please contact us at accommodations-ext@23andme.com. 23andMe will reasonably accommodate qualified individuals with disabilities to the extent required by applicable law.