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Scientist I

Job Summary:

NanoString Technologies is seeking an experienced Scientist to join our Product Development team.  In this position, S/he will work with a cross functional team to develop new molecular diagnostic and companion diagnostic products with a particular focus in Oncology.  S/he will be responsible for developing and validating novel diagnostic gene signature assays on the nCounter Dx Analysis System.  S/he will be required to design experiments to test gene signature assays and analyze genomics/gene expression data, write test plans and reports, and work cross functionally to transfer reagents and assay testing procedures to a production or clinical environment.  S/he also will be required to use molecular biology techniques to develop new molecular diagnostic reagents.  S/he will be expected to provide technical leadership and communicate results to the cross functional team, as well as contribute as an individual researcher. 

Essential Functions:

  • Use molecular biology techniques to develop and validate new molecular diagnostic reagents for use in diagnostic gene signature assays
  • Design experiments to test the sensitivity, specificity, and reproducibility of new diagnostic gene signature assays
  • Analyze genomics data  
  • Develop assay procedures required for new gene signature assays
  • Work as part of cross functional team to deliver new diagnostic products on tight timelines

Requirements (Education, Experience, Specific Skills):

  • Ph.D. in molecular biology, biochemistry, bioengineering, or related field with a minimum of two years of relevant post-doctoral or work experience, or an M.S. with a minimum of 6 years of relevant work experience.
  • Detailed understanding of state-of-the-art molecular biology techniques
  • Extensive knowledge of nucleic acid manipulation and characterization techniques (i.e., NGS, Q-PCR or hybridization assays)
  • Preferences for experience working in an ISO certified or QSR certified facility and experience developing products for the life sciences and/or molecular diagnostics industries
  • Strong analytical and organizational skills exemplified by clear oral presentations and written documentation
  • Familiarity with software tools used for the analysis of gene expression data
  • Familiarity with a statistical analysis package is strongly preferred but not required
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