449 days ago

Princess Margaret Cancer Centre



, Ontario


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Degree Level Required:


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A full-time position is available in Toronto, at the Princess Margaret Cancer Centre, University Health Network. The successful candidate will be supervised by Dr. Razq Hakem and Dr. Gary Bader and will support bioinformatics/computational biology efforts of the principal investigators in our PMCC Cancer Biology and Imaging program. The successful candidate will help organize, plan, analyze, and interpret the results from a variety of exciting projects.


The successful candidate will help analyze and interpret RNA-seq, scRNA-Seq, Chip-Seq, whole genome sequencing, chromatin conformation capture, and other data sets as needed. The successful candidate will have access to our high-performance computing infrastructure and will work with world class Scientists/Bioinformaticians in Toronto.


Candidates must have a MSc or higher degree with strong biology expertise and experience in computer science, bioinformatics and biostatistics/statistics as well as hands-on experience in the use of Unix/Linux command line, R, and statistical approaches (including Machine Learning techniques) to analyze, visualize and interpret genome-scale data sets. Preferred but not required are expertise in a scripting language (Python, Perl), best practices for software development (e.g. version control) and the use of high-performance computing systems (e.g. TORQUE) for analyzing large data sets. Hands-on experience processing and analyzing next-generation sequencing data, ATAC-seq and RNA-Sequencing data analysis is preferred. Experience with single cell sequencing data (e.g. Fluidigm C1, 10X, Dropseq) and tools (e.g. Seurat, SCONE, SINGuLAR) is a strong plus. Ideally, the successful candidate will be familiar with the basic principles of cellular processes, genetics, and cancer biology.


Candidates should have a strong sense of teamwork, be highly motivated, possess excellent organizational, problem-solving and communication skills (both verbal and written) and have relevant publications in any of the fields of cancer, genomics, statistics, or computational algorithms or tool development. In an exciting and fast paced place to work, we are looking for that ideal mixture of technical skills, biology, and creativity to grow and sustain bioinformatics efforts at one of the leading cancer research centres in the world. Excellent salary and benefits will be provided.

Additional Information:

Applicants should respond by email with a curriculum vitae, cover letter, description of research experience/projects and contact of three referees to Dr. Hakem (rhakem@uhnres.utoronto.ca).


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