Postdoctoral Fellowships in Translational Cancer Genomics

Princess Margaret Cancer Center, University Health Network
Toronto, ON, Canada
Job Type:
  • Postdoctoral
Degree Level Required:
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Postdoctoral Fellowships in Translational Cancer Genomics

Multiple postdoctoral fellowships are available in the laboratory of Dr. Trevor Pugh, PhD, FACMG at the Princess Margaret Cancer Centre in Toronto, Canada. Located in the MaRS Centre in the heart of the downtown Discovery District, we are an integral component of multiple translational genomics projects and platforms including the Cancer Genomics Program, Tumour Immunotherapy Program, Princess Margaret Genomics Centre, and the Translational Genomics Laboratory, a new joint initiative with the Ontario Institute for Cancer Research.

These newly-funded positions will support fellows wishing to lead collaborative, clinically-oriented cancer genome analysis projects: 1) Pediatric Cancer Immunogenomics 2) Liver Cancer circulating tumour DNA analysis 3) Multiple Myeloma circulating tumour DNA assay development and clinical translation 4) Brain Tumour Stem Cell genomics and clonal dynamics 5) Single cell transcriptomics methods development for cancer


These positions are an opportunity for scientifically creative, computationally-inclined individuals with a strong cancer biology background to further our understanding of oncogenic mechanisms active in cancer and to evaluate molecular features of treatment response and resistance. Fellows will gain experience integrating multiple types of next-generation sequencing data (single cell RNA-seq, targeted panels, exome, genome, transcriptome, epigenome) through analysis of tissue and blood collected during immunotherapy and combination drug trials. Key to these projects are training to interpret these data in the context of emerging new genomics technologies, rich clinical annotation, subclonal selection in response to treatment, mouse xenograft models, and large-scale public data.


Candidates must:

  • Possess a PhD or MD with specialization in genetics, molecular biology, bioinformatics, statistics, or computer science
  • Have experience in the use of Unix/Linux and R/Matlab
  • Be highly motivated with excellent organizational, problem-solving and communication skills (both verbal and written)
  • Have prior publications in cancer, genomics, immunology, computer science, or biomedical journals.

Preferred but not required:

  • Knowledge of statistical approaches to analyze and visualize genome-scale data sets
  • Experience using tools for analyzing next-generation sequencing data such as the Genome Analysis Toolkit, the Picard suite of tools, and mutation detection algorithms.
  • Strong programming skills in Python/Perl, Java, and database development
  • How to Apply

    Applicants should respond with a curriculum vitae and a letter in PDF format describing the specific fellowship project(s) of interest to you from the list above, details of how your past experience may complement training in computational cancer genomics, and your future career goals.