Principal Biostatistician, (Non-Clinical)

Genomic Health
Job Location
Redwood City, CA 94059
Job Description

Genomic Health is pioneering the application of genomics to clinical practice in order to dramatically improve the quality of treatment decisions for patients with cancer. As a member of the Non-Clinical Biostatistics team, the Principal Biostatistician will collaborate across Genomic Health, working closely with Biomedical Data Computing, Bioinformatics, Platform Technologies, Process Engineering, Pathology, and Commercial Operations and provide statistical expertise across a wide ranging spectrum of projects.


Job Requirements

  • Serves as advisor, hands-on statistician and mentor on the strengths, opportunities and limitations of study designs and both innovative state-of-the-art and standard statistical methods
  • Participates as the statistical expert on cross-functional teams, to ensure that planned studies and experiments are statistically rigorous and efficiently designed and analyzed
  • Responsible for the design, analysis and reporting of experiments that address a wide range of problems including, but not limited to, any of the following:
    • Development of Next Generation Sequencing, qPCR, IHC or Digital Image based diagnostics
    • Optimization, validation, migration, and automation of analytical methods and diagnostic tests
    • Deriving specifications for reagent and instrument qualification
  • Provide internal statistical review and technology assessment for potential business opportunities, as requested by Senior Management
  • No direct management responsibilities but may mentor less senior personnel
  • Other responsibilities as assigned
  • Advanced degree in either Biostatistics, Statistics or Mathematics
  • Normally requires Ph.D and 2+ years or Master's and 11+ years of experience, preferably with experience applying statistical methodology in a biotech, diagnostic or life sciences environment
  • Solid grounding in statistical theory and familiarity with current developments in statistical methods
  • Skilled at working with large data sets with expertise in large-scale inference, resampling methods, model development and assessment
  • Must have proven expertise with applying appropriate statistical methodologies in the following:
  • DOE
  • Process development, validation, and troubleshooting
  • Complex process optimization
  • Statistical process control
  • First rate interpersonal and communication skills are essential with fellow team members, management and customers who have varied levels of technical or statistical background
  • Ability to integrate and apply feedback in a professional manner
  • Ability to prioritize and deliver to results with a high emphasis on quality
  • Ability to work collaboratively and effectively as part of multidisciplinary teams




  • Proficient in SAS or S+/ R; knowledge of a scripting language and/or SQL desirable
  • Familiarity or experience in environments regulated under FDA or ISO
  • Demonstrated desire to mentor and develop others


Apply Here


How to Apply

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