A full-time position is available at the Princess Margaret Cancer Centre in Toronto, Canada. The successful candidate will work with the Harding, Hakem and Ailles labs to support their bioinformatics efforts and to help organize, plan, analyze, and interpret the results from a variety of exciting projects that are currently ongoing and planned. The successful candidate will work on existing and future RNA-seq, whole genome sequencing, chromatin conformation capture, CyTOF and single-cell RNA-sequencing data sets generated from a variety of cellular and murine model systems.
The successful candidate will have all the tools required to accomplish their goals, including dedicated access to the hospital’s high-performance computing infrastructure, which is one of the top systems in Canada devoted to health care research. In addition to this, you will work with collaborating bioinformaticians at the Princess Margaret Bioinformatics and Computing Core, and with researchers abroad (Catalan institute of Oncology, IDIBELL, Barcelona).
Candidates must have a MSc or higher 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 immunology, DNA damage responses, 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: immunology, 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 and cover letter to firstname.lastname@example.org.
Shane Harding, PhD, Laurie Ailles, PhD and Razq Hakem, PhD.
Princess Margaret Cancer Center
Program for Cancer Biology and Imaging
Department of Medical Biophysics
University of Toronto