Principal Biostatistician

NanoString Technologies   •  

Seattle, WA

8 - 10 years

Posted 237 days ago

This job is no longer available.

The Principal Biostatistician is responsible for developing the Biostatistics vision in collaboration with Bioinformatics, leading the Biostatistics efforts across all products and platforms at NanoString, and managing the Biostatistics team. This individual acts as principal lead in designing and reporting of statistical analyses in support of the development of products for life science research and diagnostic development.  This individual will also be responsible for working closely with the Bioinformatics team, R&D team, and commercial team to develop new content and analysis methods for products on the nCounter, DSP, and Hyb&Seq platforms.

Essential Duties:

  • Analyzing the statistical integrity and accuracy of data generated during development of in vitro diagnostic assays and new RUO assays
  • Acts as principal lead in designing and reporting of statistical analyses of studies and experiments in support of the development of products for life science research and clinical diagnostics
  • Works closely with scientists and engineers to ensure proper use of statistical methodology and interpretation of results generated by the R&D team as well as assisting customers with complex data analysis problems
  • Lead the statistical evaluation of new signatures and candidate biomarkers for translation to clinical use on the nCounter, DSP, and Hyb&Seq systems
  • Works closely with research scientists, commercial team to drive and lead the Biostatistics component of the development of analyses for new products for the nCounter, DSP, and Hyb&Seq platforms
  • Lead the Biostatistics team and provide vision and guidance to support both internal R&D product and assay development activities as well as support external customers
  • Works with closely with the R&D team developing the vision and content for new statistical analysis methods for identifying content and creating relevant signatures and analysis for future content on the nCounter, DSP, and Hyb&Seq platforms

Requirements:

  • Ph.D. degree in the biological sciences, bioinformatics, statistics, or a related field
  • 7+ years related experience in the statistical analysis of biological data
  • Expertise in statistical programming in R, SAS, JMP, or related data analysis tools
  • Experience in writing statistical plans, protocols, and reports
  • Strong knowledge of signature and biomarker discovery and development
  • Expertise in the analysis of large genomics datasets from DNA and RNA microarrays, quantitative PCR and NGS from both public (TCGA) and private sources
  • Familiarity with current literature on genomic and expression biomarkers and signatures
  • Experience in analyzing clinical datasets including survival data
  • Proficiency in the design of experimental protocols including power calculations
  • Background in cancer biology or bioinformatics/computational biology preferred
  • Excellent verbal and written communication skills