Sr. Scientist, Computational Biology - Target Discovery

South San Francisco, California

Applications have closed

23andMe

23andMe is a saliva-based DNA service. We provide genetic reports on your ancestry, family history and help you connect with your DNA relatives.

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Who We Are

23andMe, the leading consumer genetics and research company, has accumulated a wealth of genotypic and phenotypic information from participants committed to improving human health through advances in genomics. Our Therapeutics team in South San Francisco leverages this data to discover and develop new treatments that can offer significant benefits for patients with serious, unmet medical needs.

This dedicated research and drug development group identifies novel targets using 23andMe's genetic database and performs preclinical research to advance programs towards clinical development. We currently have programs across several therapeutic areas, including but not limited to oncology, respiratory, and cardiovascular diseases. More information about our Therapeutics team is available at https://therapeutics.23andme.com/.

We are looking for an exceptional Computational Biologist to join our collaborative, cross-functional research team focused on discovery of novel therapeutic targets and interpretation of association signals from the world’s largest database of genotypes and phenotypes. Successful candidates will have demonstrated experience analyzing large genetic, gene expression and functional genomics datasets using the best practices in statistics or machine learning. They will use rigorous quantitative reasoning, creativity, and understanding of molecular biology to develop computational tools to analyze high-throughput functional data and integrate it with human genetics to identify promising drug targets. Our team is very collaborative, and the ability to communicate ideas and results with other scientists is key.

 

What You'll Do

  • Build tools and develop computational methods to provide biological interpretation of genetic signals identified in the 23andMe database
  • Extend existing target discovery efforts to incorporate additional data types and novel analysis methods
  • Work collaboratively with members of Computational Biology, Statistical Genetics and Discovery Biology teams on integrative analysis of public and in-house generated gene expression and functional genomics data with the goals of elucidating disease biology
  • Provide scientific expertise and leadership and drive complex projects forward
  • Mentor and manage PhD-level scientists 

 

What You’ll Bring

  • Ph.D. in Computational Biology, Bioinformatics, Biomedical Informatics, Biostatistics, Genetics, Computer Science, Statistics or a similar quantitative field
  • Experience in interpretation and fine mapping of genetic association signals
  • Hands-on experience working with large scale *omics datasets
  • Experience developing robust data analysis software in R and/or Python
  • 5+ years of post-Ph.D. research work experience in an academic or for-profit setting
  • Demonstrated success in leading complex projects with multiple contributors and/or stakeholders
  • Experience managing one or more Ph.D. level scientists
  • Demonstrated ability to effectively work as part of interdisciplinary teams
  • Exceptional communication skills, with an ability to convey complex computational results to colleagues from a wide range of life sciences backgrounds
  • Ability to work from 23andMe's office in South San Francisco a minimum of 2 days per week

 

Strongly Preferred

  • Industry experience in pharmaceutical or biotechnology research

 

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 disease areas, including oncology, respiratory, and cardiovascular diseases, in addition to other therapeutic areas. 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.San Francisco Bay Area Base Pay Range$168,000—$252,000 USD

Tags: Bioinformatics Biology Biostatistics Computer Science Data analysis Drug discovery Machine Learning Pharma PhD Python R Research Statistics

Perks/benefits: Career development Health care

Region: North America
Country: United States
Job stats:  20  0  0

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