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Computational Biologist

3 months ago

Montreal, Quebec, Canada Imagia Canexia Health Full time
Permanent full-time position

About the position


This is a full-time employment opportunity based in our Montreal or Vancouver office with the possibility of remote work in hybrid mode.

To be eligible for this position, an applicant must be legally entitled to work in Canada.

What you'll be accountable for:

As a member of our team, you will:

  • Evaluate and screen externally developed tools for potential internal adoption.
  • Work closely with the laboratory team to develop bioinformatics pipelines and methodologies to detect methylation markers from novel assay developments.
  • Provide analysis and interpretation of methylation data.
  • Work closely with the software team to integrate the novel pipelines in the ICH Informatics Platform and to optimize the pipelines.
  • Evaluate the algorithm performance in commercial and clinical samples.
  • Develop, manage, and document genome sequencing data analysis pipelines and other algorithms and statistical models.
  • Keep uptodate with novel methods and algorithms for methylation analysis in cancer genome sequencing data.

About you

The person our team is looking to welcome:

Requirements:

  • Proven track record: of strong publications that you are ready to show us.
  • Research experience: Prior experience working in computational epigenetics and cancer research. Experience in analysis of Whole Genome Sequencing Data.
  • NGS: Experienced in advanced level genomic and/or next generation sequencing analysis or methods development.
  • Commendable analytical skills: Experience in developing and implementing bioinformatics pipelines.
  • Attention to detail: Uncompromisingly meticulous with execution of analysis.
  • Linux/

UNIX:
Experienced in working with command-line interfaces.

  • Coding: Proficient with Python (desirable) or other coding language.
  • Tech savvy: Experienced for 3+ years with standard NGS analysis tools such as samtools, alignment software, and tools for methylation calling.

Nice-to-haves

  • Familiarity with fragmentomics
  • Prior experience with ONT technology
  • Experience with ML/AI techniques for the analysis of large data sets.
  • Experience with GitHub and cloud based computing such as AWS or Azure

APPLY HERE

About Us
We believe everyone with cancer should have the same fighting chance to survive and thrive.

We work in a rapidly evolving field that attracts smart, talented people who are committed to making a difference for cancer patients.

But not everyone has access to the latest advances. People who join us are committed to bringing equity to critical aspects of cancer care. We are a lean and driven team building on this vision from the ground up.

You're a self-starter who can pitch in right away by deploying your own expertise to make this shared vision a reality.

We are an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees.

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