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Computational Biology Summer Intern
Single Cell Methods Development, Remote
Confirmed live in the last 24 hours
San Bruno, CA, USA
Experience Level
Desired Skills
Data Analysis
  • Currently pursuing a Ph.D degree, preferably in Biostatistics, Statistics, Computational Biology, Bioinformatics, or a related field
  • Hands-on experience working with large genomic datasets
  • Experience using R and/or Python
  • Proven track record of setting up and maintaining data analysis pipelines
  • Experience in developing robust data analysis in R or python
  • Authorization to work in the US
  • Knowledge of human genetics and GWAS
  • Experience with single-cell RNA-Seq and/or single-nucleus ATAC-seq analysis
  • Experience with version control
  • Develop statistical methods for the analysis and integration of single-cell RNA-seq, single-nucleus ATAC-seq, and other functional genomics data
  • Validate and benchmark methods on public and 23andMe internal datasets
  • Implement and extend software tools and pipelines for omics data, particularly single-cell RNA-seq and single nucleus ATAC-seq
  • Interact with other 23andMe scientists through your project, team meetings and seminars, and learn about the wide variety of research at 23andMe

501-1,000 employees

Personal genomics & biotechnology company
Company Overview
23andMe’s mission is to help people access, understand, and benefit from the human genome. The company has created the world’s largest crowdsourced platform for genetic research and is the only company with multiple FDA authorizations for genetic health risk reports. The company is also in development of discovery programs rooted in a diverse spectrum of human genetics to ultimately deliver reports and results from all spectrums of your DNA.
  • Comprehensive health, vision, & dental plans
  • Family planning, support, & leave for parents
  • Mental healthcare
  • Student loan assistance
  • Volunteer time off
  • Dog friendly office
Company Core Values
  • Think big
  • We heart DNA
  • Lead with science
  • Get to yes or no, quickly.
  • Behind every data point is a human being
  • We're in this together