A full-time position is available at the Princess Margaret Cancer Centre in Toronto, Canada. The successful candidate will support bioinformatics 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 that are currently ongoing. The successful candidate will work on existing and future RNA-seq, Chip-Seq, whole genome sequencing, chromatin conformation capture, and single-cell RNA-sequencing data sets generated from a variety of cellular and murine model systems.
Princess Margaret Cancer Centre in Toronto is among the top 5 cancer research institute worldwide.
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 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.
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.
Applicants should respond by email with a curriculum vitae, cover letter and contact of three referees to email@example.com
Razq Hakem, PhD.
Princess Margaret Cancer Center
Program for Cancer Biology and Imaging
Department of Medical Biophysics
University of Toronto