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Computational Biologist

Canexia Health Inc.
Job Location
2389 Health Sciences Mall
Suite 204
Vancouver, BC V6T 1Z3

(Location Vancouver preferred, USA remote possibility)

Job Description

The Computational Biologist will help lead the bioinformatics research and development program and will be expected to design and develop software and methodologies to perform algorithmic and statistical analyses on genomic sequencing data using leading-edge DNA sequencing technologies and computational methods. The Computational Biologist will develop, manage and document genome sequencing data analysis pipelines and other algorithms and statistical models. The Computational Biologist will work under minimum supervision and will report to the Chief Informatics Officer.


Required Credentials: 

  • PhD in a relevant field (computational biology, computer science, applied mathematics, or bioinformatics)
  • Strong publication record
  • Experience working in cancer research
  • Experience in advanced level genomic and/or next-generation sequencing analysis or methods development
  • Must be eligible to work in Canada.
How to Apply

More information on Canexia Health can be found at

To apply for this position: email CV and cover letter to [email protected] with job code: JD013 in the header.

We thank all applicants for their interest; however, only those candidates selected for an interview will be contacted. 

About Our Organization

Join Canexia Health: a leading Canadian genomics company based in Vancouver, BC, built by world experts in the fields of cancer genomics, molecular diagnostics and bioinformatics. A position is available immediately to join this exciting and growing company, which makes next-generation cancer sequencing diagnostics widely available to patients across the globe. We develop and distribute state-of-the-art molecular tools and cloud-based end-to-end bioinformatics and clinical reporting solutions to inform patients and their oncologists of optimal treatment strategies for their cancer. We welcome enthusiastic and talented scientists wishing to contribute their high-level computational expertise to improving global cancer care.

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