Bioinformatics Research Position

Institution/Company:
Princess Margaret Cancer Centre, Toronto
Location:
Toronto, ON, Canada
Job Type:
  • Staff
Degree Level Required:
PhD, Masters
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Bioinformatics Research Position

Candidates must have a MSc or higher degree with experience in computer science, bioinformatics and biostatistics/statistics as well as hands-on experience in the use of Unix/Linux, R/Matlab, and statistical approaches (including Machine Learning techniques) to analyze and visualize genome-scale data sets. Preferred but not required are expertise in a scripting language (Python, Perl), best practices for software development (version control, etc.) and the use of high-performance computing systems (eg. 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 (Fluidigm C1, 10X, Dropseq etc.) and tools (Seurat, SCONE, SINGuLAR etc.) is a strong plus. Ideally, the successful candidate will have some familiarity with the basic principles of genetics and cancer biology.

Responsibilities:

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 tools. 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. Excellent salary and benefits will be provided.

Qualifications:

Candidates must have a MSc or higher degree with experience in computer science, bioinformatics and biostatistics/statistics and should have demonstrated expertise in cancer studies