Sano is developing a novel sensor for continuously monitoring blood analytes in a minimally invasive manner. We are looking for a data scientist who will conduct data analysis to support the development of Sano’s sensor platform.

What you’ll be doing:

  • Statistical analysis of experimental and user trial data - starting with ETL (extract, transform and load), including computation of confidence intervals, p-values, t-tests, etc.
  • Fit data to chemical and physical models and analyze results
  • Create analysis procedures that scale easily with both the amount of data being generated in the R&D group as well as during sensor production
  • Analyze historical database of in vitro and in vivo data
  • Present data and insights to the R&D and Engineering teams  

What you’ll bring:

  • Strong background in classical statistics (random processes, probability, point/interval estimation, hypothesis testing) and time series analysis
  • Excellent software development skills in Python and using numpy, scipy, pandas and other scientific computation libraries
  • Strong background in data mining, data analysis, and clear, readable report generation
  • Strong SQL skills
  • Ph.D. or Masters in Applied Mathematics, Statistics, Bio-statistics, Physics, Chemistry, Engineering or related field is preferred with +1 years of industry experience

You’ll stand out if you have:

  • Experience with chemistry and experimental analysis
  • Experience with Git, LaTeX, Pivotal Tracker, Jira, and Slack

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