IVD Bioinformatics Scientist

Job ID:
Job date: 2018-06-10
End Date: 2018-08-09

Company : Guardant Health 

Country : United States 

Role : Research Scientist 


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Job Description:
At Guardant Health, we are committed to positively and significantly impacting patient health through technology breakthroughs that address long-standing unmet needs in oncology. As a member of the Bioinformatics development group, you will design wet lab studies, retrospective analyses, and simulations, develop and execute bioinformatics analysis plans, and author development reports. You will work closely with multiple teams across Guardant Health, including Bioinformatics, Software, Technology Development, Regulatory, and Operations. Your work will evaluate feasibility and reduce technical risk for development of critical features and studies in support of in-vitro diagnostic and companion diagnostic product development.

Responsibilities:

  • Work closely with molecular biologists to design and analyze feature development and feasibility experiments under design control
  • Develop and execute bioinformatics analysis plans with testable acceptance criteria
  • Conduct feasibility analyses and write development reports
  • Identify and solve problems proactively as needed
Qualifications:
  • As a competitive candidate, you will have many of the the following training, skills, and experience:
  • IVD and/or Companion Diagnostic (CDx) development experience essential
  • Molecular diagnostics experience, with an emphasis on NGS approaches, desirable
  • Experience designing, analyzing, troubleshooting, and visualizing wet lab experiments
  • Demonstrable expertise in genome scale data analysis
  • Bioinformatics skills in genomics, sequence analysis, python or R scripting under version control
  • Awareness and experience with current landscape of bioinformatics tools
  • Working knowledge of statistical methods, including: conditional probability, linear modeling, goodness-of-fit tests, maximum likelihood, and bayesian models.
  • Attention to detail, with ability to write development reports
  • Commitment to reproducible research
  • Desire to contribute to personalized medicine and innovative cancer care
  • Ability to work under fast-paced startup environment
Education: PhD in Bioinformatics, Statistics, Computational Biology, Cancer Genomics, or related quantitative field Or MS and 3+ years industry experience


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Additional Info:
All your information will be kept confidential according to EEO guidelines.

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