Scientist I, Computational Biology

23andMe in South San Francisco, CA

  • Industry: Education - Excluding Post Secondary - Others
  • Type: Full Time
position filled

What you’ll do

  • Contribute to ongoing therapeutic development programs by analyzing clinically relevant disease subtypes to help understand the mechanisms of action of our targets/drugs and identify predictive and prognostic genetic biomarkers.
  • Lead the effort to identify, evaluate and curate public genetic and genomics data related to disease subtypes and drug response.
  • Design/implement novel methods and tools to analyze human genetic and genomic data for both biomarker and target discovery.
  • Work collaboratively with biomarker scientists, drug discovery scientists, computational biologists, statistical geneticists, and drug development scientists and clinicians.
  • What you’ll bring

  • Ph.D. in Computational Biology, Statistics, Computer Science or a related quantitative field
  • 1-5 years' post-Ph.D. experience, reflecting a strong record of achievement either through publications or successful biotech/pharmaceutical industry accomplishments in health sciences or drug development
  • Ability to communicate clearly and effectively especially to non-specialists
  • Ability to work well on cross-functional teams
  • Experience developing robust data analysis software in R and/or Python
  • Expertise in several of the following: RNAseq, WES/WGS, mass spectrometry, regression modeling, and/or machine learning
  • Pluses:

  • Understanding and expertise in human genetics, GWAS, fine mapping, QTLs
  • Knowledge of biology in at least one disease-relevant area (e.g., immunology, oncology, metabolic or cardiovascular disease, etc.)
  • Knowledge/experience in biomarkers 

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