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Job: Cancer genomics subject matter experts for Massive Bio - consulting opportunity

Massive Bio is a healthcare informatics startup specializing in designing best practices and customized workflows for cancer diagnostics, that interpret genome sequence data and deliver simple and intuitive clinically relevant reports, closely integrated with patient specific clinical information. We started our journey with cancer but our workflows can be extended for other therapeutic areas, that benefit from next-generation sequencing (NGS) platforms.

We are seeking cancer genomics experts in the following areas as a consultant.

  • Reimbursement for cancer sequencing based molecular diagnostics.
  • Understanding of insurance company operating models for molecular diagnostics and associated cancer treatment decisions.
  • Design of statistical models or aggregation of scientific evidence to establish the clinical utility of targeted gene panels, providing immediate and intuitive actionable information for a clinician and the patient.
  • Design of systems for tracking clinical outcomes, and subsequent analyses for clinical relevance in hospitals for cancer genomics.
  • Detailed scientific, operational and financial assessment of NGS providers.
  • Understanding of NGS capabilities for research or clinical use at various sizes of hospitals or private practices, and the scope of their interest.

Candidates should have at least 10 years of experience (both academic and industry combined), significant track record and they should be recognized as visionary leaders in the related field.

Contract duration and pricing will be detailed after understanding your capabilities, when the scope of the assignment is detailed. Applications from outside the United States cannot be accepted.

If you have expertise in one or multiple areas of interest to Massive Bio, please send me, Selin Kurnaz, a CV at skurnaz@massbio.io, or feel free to text/call me at (734) 262-1020.

I look forward to hearing from you!

Selin Kurnaz, PhD

next-generation-sequencing cancer-genomics

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