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Staff Scientist/Sr. Staff Scientist
Ref No.: 20-00112
Category: Biotechnology
Location: Brisbane, California
The primary function of this position will be to drive development of innovative diagnostic solutions for transplant recipients. The ideal candidate will be able to lead assay development and validation projects, have experience interfacing with cross functional teams including bioinformatics, biostatistics, data science, clinical and lab operations; and have experience in molecular biology methods for nucleic acid characterization and applications.

Responsibilities as follows, but not necessarily limited to:
  • Lead the initiation, design and execution of experiments to develop Client high-value diagnostic tests
  • Use molecular biology approaches to independently develop and optimize molecular diagnostics assays based on gene expression
  • Independently perform basic analysis of high-dimensional data
  • Coordinate with statistics and bioinformatics teams for high-level data analysis and gene expression signature development
  • Provide expert support, guidance and mentorship for experiment design, data analysis and results communication to the broader scientific team
  • Interface with staff in multiple departments and clearly communicate results with colleagues and R&D management, as well as externally at scientific meetings and conferences
  • Lead project through development, validation and launch

  • Ph.D. in genomics, molecular biology or a related discipline with 10+ years of experience and at least 5 years of industry experience.
  • Strong background in molecular biology
  • Expert in nucleic acid sample preparation
  • Experience in development or optimization of nucleic acid technologies related to measuring gene expression, e.g. qPCR, dPCR and multiplex PCR
  • Ability to collect requirements, plan activities and prioritize activities/assignments to supporting team members.
  • Able to identify risk and provide recommendations for risk mitigation in area of responsibility and at project level.
  • Excellent interdisciplinary communication skills required
  • Bioinformatics skills such as programming and data mining are a plus
  • Good organizational skills, and detail oriented