What are the responsibilities and job description for the Scientist / Senior Scientist, Product R&D position at 23andMe?
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 Are At 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 Are You 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
Strongly Preferred
Salary : $168,000 - $252,000
