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 therapeutics.23andme.com/.
We are seeking exceptional researchers with backgrounds in machine learning, statistics, genomics, bioinformatics, and/or computational biology. Successful candidates will have a passion for independent research and technical problem-solving, as well as a demonstrated ability to develop and implement research-based ideas.
Note: Though our Therapeutics office is located in South San Francisco, CA, this position will be remotely based in the Chicago, IL area. We will consider exceptional candidates throughout the United States.
What You’ll Do
In this new role, you will design and develop new algorithms and analysis tools that link genetic variation to changes in gene expression, cellular function, and, ultimately, phenotype. You will examine chromatin immunoprecipitation-based sequencing assays (ChIP-seq) data and model transcription-factor binding motifs and the underlying regulatory syntax. You will also examine gene expression data from bulk or single-cell RNA sequencing (RNA- and scRNA-seq).
You will collaborate to complete complex projects and present findings to other 23andMe scientific teams as well as the broader scientific community. It is important to note that specific domain knowledge is less important in this role than genuine intellectual curiosity, strong research skills, and a track record of scientific innovation and achievement.
What You’ll Bring
• Ph.D. in the physical or life sciences (e.g. Chemistry, Biology, Physics), or quantitative field (e.g. Computer Science, Statistics, Mathematics)
• Deep understanding of computational biology, genomics, or machine learning, as well as a successful record of academic or industry accomplishments, including the development of novel methods and analytical approaches for genomic data analysis
• Strong R or Python skills, and a working knowledge of SQL
• Experience with supervised and unsupervised machine learning algorithms
• Exceptional communication skills, with an ability to convey complex technical concepts and scientific insights to diverse audiences
• Ability to work in dynamic team-oriented environment
• Experience conducting research in relevant disease areas such as metabolic diseases, immune diseases, or oncology is a plus
• Experience with Python-based machine learning libraries (Pytorch, TensorFlow, etc) highly desirable.
• For Sr. Scientist level, will bring substantial industry experience including leading one or more large scale collaborative projects
Job title will be commensurate with experience and academic credentials
www.23andme.com/careers/jobs/6400058002/