Data Analysis Scientist (3001KJ)

Currently, we are seeking a highly-motivated Data Analysis Scientist to take a key role in next generation sequencing data analysis in support of our single cell genomics platform. The successful candidate will have the opportunity to work in a fast-paced environment and will be responsible for the development and application of statistical methodologies and analytical frameworks that will be used in both internal development programs and commercially released products.

 

Job Duties

  • Develop and apply statistical methods and novel algorithms to genomic data sets that will be used to guide development of a variety of single cell applications
  • Investigate datasets to undercover trends and root cause of errors that impact system performance. Build statistical analysis tools that will allow continual monitoring of assay and reagent performance
  • Collaborate with research scientists, marketing, and customers to support project planning and commercial launch

 

Experience

  • PhD or Masters in statistics, mathematics, computational biology, physics or related quantitative fields.
  • 3+ years industry experience required
  • Strong background in analysis of large NGS datasets and development of novel algorithms for NGS sequence analysis
  • Demonstrated ability to troubleshoot complex problems
  • Demonstrated ability to work effectively and cooperatively in a team environment
  • Experience in at least one programming language (Python, Perl, C++, ) and statistical computing language (R, S, etc.)
  • Experience with neural networks and machine learning a plus