cropped cropped White with Bold Red Political Logo 1 1772 Computational Biology Summer Intern, Statistical Models for Functional Genomics Assays (Remote)

Computational Biology Summer Intern, Statistical Models for Functional Genomics Assays (Remote)

  • Internship
  • South San Francisco, CA
  • TBD USD / Year
  • 23andMe profile

  • Job applications may no longer being accepted for this opportunity.


During our 10-week summer internship program, you’ll join our Therapeutics – Computational Biology team who works on statistical models for the analysis of CRISPR-QTL data and benchmark new methods on 23andMe’s functional genomics datasets. You’ll have the opportunity to develop skills such as handling large functional genomics datasets, develop statistical expertise in the context of drug discovery and improve communication skills as part of a multidisciplinary team of computational and experimental scientists in a corporate setting. The dates for Cohort 1 will be June 5, 2023 – August 18, 2023; the dates for Cohort 2 will be June 20, 2023 – September 1, 2023.

Who We Are

Since 2006, 23andMe’s mission has been to help people access, understand, and benefit from the human genome. We are a group of passionate individuals pushing the boundaries of what’s possible to help turn genetic insight into better health and personal understanding.

What You’ll Do

  • Develop statistical models for the analysis of CRISPR based assays and other functional genomics datasets.
  • Validate and benchmark methods on public and 23andMe internal datasets.
  • Implement the selected method into a standardized analysis pipeline.
  • Present results to the company and communicate outcomes to statisticians and biologists.

What You’ll Bring

  • Currently pursuing a Ph.D degree, preferably in Computational Biology, Biostatistics, Bioinformatics, or a related field.
  • Hands-on experience working with large genomic datasets
  • Proven track record of setting up and maintaining functional data analysis pipelines
  • Experience in developing robust data analysis in R or Python
  • Authorization to work in the US

Please share with us why you’re interested in this opportunity in a cover letter!

Strongly Preferred

  • Knowledge of human genetics, GWAS and QTLs
  • Knowledge of single-cell RNA-Seq analysis

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

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 [email protected]. 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.

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