Staff Computational Biologist

Princess Margaret Cancer Centre
Toronto, ON, Canada
Job Type:
  • Staff
Degree Level Required:
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Staff Computational Biologist

Our research group at Princess Margaret focuses on lymphoid malignancies and, in particular, on scenarios that are associated with poor outcome such as early progression after treatment, transformation to aggressive lymphoma and relapse in the central nervous system. We are applying cutting-edge tools to primary patient samples to unravel tumour heterogeneity and to develop novel, innovative biomarkers to predict outcome in lymphoma. Our ultimate goal is to improve patient outcomes through a better understanding of the diversity of responses to treatment and by tailoring therapy to each individual patient. See our lab website for further information:

We are seeking a highly motivated individual to maintain large-scale bioinformatics projects, analyze high-throughput data and oversee computational activities in the lab. This individual will work closely with computational biology post-docs, research technicians and our clinical research coordinator. Within our academic environment, this position allows to make a significant contribution to cancer research and directly impact on our patients’ lives, by nature of our strong ties to the clinic. This position will also provide ample opportunities for professional development, for research planning and strategy, and for dissemination of findings at national and international meetings.


• Maintain large omics datasets.
• Deploy state-of-the-art computational tools.
• Develop methods, if needed.
• Ensure reproducibility of findings.
• Present results to internal and external stakeholders.
• Supervising more junior colleagues.


• PhD in bioinformatics, computer science or statistics.
• Minimum of 2 years related experience post graduate degree.
• Exceptional computational skills.
• Strong background with Unix/Linux, Perl and/or Python.
• Advanced knowledge of NGS platforms and datatypes (FASTQ, BAM, VCF, MAF).
• Experience with analysis of targeted, exome or genome sequencing data.
• Experience with the integration of large-scale omics datasets.
• Prior experience with cancer genomics is required.
• Solid skills in statistical analysis (ANOVA, regression, clustering, phylogenetics, survival).
• Expertise with R and Bioconductor.
• Experience with machine learning and data modelling.
• Excellent communication skills.
• Willingness to work in a team environment.
• Excellent publication record.

  • How to Apply

    Submit a CV, a copy of your most relevant paper, and the names, email addresses, and phone numbers of three references to The subject line of your email should start with “STAFF COMPBIO – RKLAB”. All documents should be provided in PDF.

Additional Information

The Princess Margaret Cancer Centre is one of the top 5 cancer centres in the world. Our centre is a teaching hospital within the University Health Network and affiliated with the University of Toronto, with the largest cancer research program in Canada. This rich working environment provides ample opportunities for collaboration and scientific exchange with a large community of clinical, genomics, computational biology and machine learning groups at the University of Toronto and associated institutions, such as the Ontario Institute of Cancer Research, Hospital for Sick Children and Donnelly Centre.