Scientist/Senior Scientist, Product R&D

Are you passionate about developing computational methods that directly improve people's lives? Would you enjoy leveraging machine learning, AI, and probabilistic modeling to derive meaningful human health insights from the world's largest database of genetic and phenotypic data? We're looking for an enthusiastic scientist with a background in computational biology or a similar field to contribute to developing 23andMe's consumer product.

Who We AreAt 23andMe, our mission is to help individuals and researchers access, understand, and benefit from the human genome. Since 2006, we have been at the forefront of using human genetics to advance biomedical research and transform healthcare, powered by a passionate team and the one of the world's largest genetic databases, with more than fifteen million genotyped customers

Who You AreYou thrive on learning and implementing novel, state-of-the-art computational methods to gain deep insights. You're driven to extract translational findings from large datasets and ensure that results are valid and meaningful. Attention to detail is your forte, and you approach new ideas with excitement, curiosity, and healthy skepticism. You can work independently and excel as part of a collaborative and cross-functional team. Like us, you are mission-driven and aim to contribute to initiatives that truly impact people's lives.

What You’ll Do

• Your work will be the scientific foundation of 23andMe customer features
• Build the most comprehensive and accurate prediction models of health outcomes and mortality by leveraging the world’s largest genetic and phenotypic database
• Help people live longer and healthier lives by applying state of the art computational biology and/or statistical genetics methodologies to build personalized and compelling recommendation systems
• Deepen our understanding of the human genome beyond genome-wide association studies and polygenic risk scores by integrating biomarkers and clinical data into our predictive models
• Translate academic research into groundbreaking consumer products and features that solve real health problems
• Collaborate with dedicated machine learning engineers to continuously develop our statistical genetics and machine learning software infrastructure
• Keep abreast of the latest scientific studies and advocate for bringing novel methodologies in-house

What You’ll Bring

• A Ph.D. degree or equivalent work experience in a quantitative discipline, such as computational biology, bioinformatics, genetic epidemiology, engineering, mathematics, statistics, physics, or computer science
• Familiarity with human biology and/or human genetics (e.g., through working on projects with a disease focus) and/or population genetics
• Strong knowledge of statistics, including Bayesian inference, and its application to designing algorithms
• Expertise and hands-on capabilities with data analysis, programming, and related concepts in Python, including working with packages such as PyTorch and NumPyro
• Motivation to clearly document and communicate your work, including presenting clear descriptions of your technical work to broad audiences and collaborating on coding projects
• A proactive, thorough, and independent work style, along with the ability to thrive in a dynamic, fast-paced, and interdisciplinary team
• A passion for making science accessible and relevant to everyone

Strongly Preferred

• Ideally 3+ years of post-PhD relevant work experience with machine learning, probabilistic modeling, or statistical tools, including designing, implementing, and validating models
• Experience with genome-wide association studies and developing polygenic risk scores
• Experience working with various neural network architectures, using both structured and unstructured multi-modal data
• Experience with algorithm development and implementation
• Experience creating web applications using frameworks (e.g., Django and Flask)
• Experience communicating complex scientific concepts to a non-technical or consumer audience

About Us

23andMe, headquartered in Sunnyvale, CA, is a leading consumer genetics and research company. Founded in 2006, the company’s mission is to help people access, understand, and benefit from the human genome. 23andMe has pioneered direct access to genetic information as the only company with multiple FDA authorizations for genetic health risk reports. The company has created the world’s largest crowdsourced platform for genetic research, with 80 percent of its customers electing to participate. The platform also powers the 23andMe Therapeutics group, currently pursuing drug discovery programs rooted in human genetics across a spectrum of diseases. More information is available at www.23andMe.com.

At 23andMe, we value a diverse, inclusive workforce and we provide equal employment opportunity for all applicants and employees. All qualified applicants for employment will be considered without regard to an individual’s 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, genetic information, 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.

Please note: 23andMe does not accept agency resumes and we are not responsible for any fees related to unsolicited resumes. Thank you.

Pay Transparency
23andMe takes a market-based approach to pay, and amounts will vary depending on your geographic location. 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.

Scientist I $131,200 - $196,800
Sr. Scientist I $168,000 - $252,000