- Ontario Institute for Cancer Research
- Toronto, ON, Canada
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Position: Bioinformatician Site: MaRS Centre, Toronto Department: Computational Biology Reports To: Principal Investigator (Dr. J. Reimand) Salary: Commensurate with level of experience Hours: 35 hours/week Status: Full-time, Temporary
About us: The Ontario Institute for Cancer Research (OICR) is a top-ranking translational cancer research institute located in the Discovery District of downtown Toronto, one of the top three biotechnology hubs in North America and an exceptionally collaborative environment. As part of international cancer research teams, the ICGC (International Cancer Genome Consortium) and TCGA (The Cancer Genome Atlas), we have early access to large and diverse cancer datasets that are about to become state-of-the-art in the coming years. We face exciting computational challenges to interpret these new datasets of unprecedented magnitude and complexity.
OICR is an innovative cancer research institute located in the MaRS Centre in the Discovery District in downtown Toronto. OICR is addressing significant challenges in cancer research with multi-disciplinary, multi-institutional teams. New discoveries to prevent, detect and treat cancer will be moved from the bench to practical applications in patients. The OICR team is growing quickly. We are innovative, dedicated professionals who bring expertise to each of our roles. We are looking for individuals interested in being part of a culture of excellence that will result in Ontario being recognized internationally as a leading jurisdiction for cancer research.
Launched in December 2005, OICR is an independent institute funded by the Government of Ontario through the Ministry of Research, Innovation, and Science.
For more information about OICR, please visit the website at www.oicr.on.ca.
About the position: We are looking for a talented and highly motivated Bioinformatician to contribute to the development of a world-class bioinformatics platform in cancer genomics through passionate research on the following questions. Which genome mutations are important in cancer development and how do they function mechanistically? How are biological pathways and molecular interaction networks altered by mutations, gene regulation, epigenetic modifications and DNA rearrangements? Which genes are most likely targets for future drugs, and how can we use existing drugs to treat cancer? How to build computational models, bioinformatics algorithms and innovative visualizations to integrate complex multi-dimensional datasets and discover new knowledge?
As a successful candidate, you will have extensive interest in large-data problems, excellent quantitative analysis skills and a desire to acquire in-depth knowledge of cancer genomics. You will analyze versatile -omics datasets to understand biology of cancer and to drive discovery of molecular biomarkers and personalized therapies. You will work closely with the team and the Principal Investigator on cancer genomics projects in collaborations with basic, translational, and clinical researchers at the OICR, in the excellent research community of Toronto, and internationally. We are involved in the ICGC Pan-Cancer Analysis Working Group (PCAWG), a collaboration of hundreds of experts to analyze whole-genome sequencing (WGS) data of more than 2,800 donors and 30 types of cancer. Our analyses are performed on cutting-edge IT infrastructure including a multi-petabyte storage system and a >8,000-core compute farm. Your tasks include: • Integrative analysis of multi-dimensional cancer genomics datasets using statistical and machine learning approaches; • Development of innovative computational methods and open-source bioinformatics software; • Visualization and interpretation of –omics data with pathway and network information.
• University degree in bioinformatics, computational biology or computer sciences with significant bioinformatics experience. Graduate degree is a strong asset; • Minimum of 1 year of professional experience in bioinformatics; • Solid knowledge of statistical programming (GNU R preferred) and scripting languages (Python, Perl); • Strong knowledge of basic statistics; machine learning skills are a definite plus; • Experience with bioinformatics resources, databases, tools and common standard formats; • Experience in analyzing next-generation sequencing and/or microarray data; • Strong knowledge of and interest in molecular biology, genomics, and cancer; • Familiarity with the Linux or MacOSX environment, shell scripting and system tools; experience with high performance computing is an asset; • Experience with data visualization and graphic design (e.g. Adobe Illustrator) is a plus; • Ability to work independently as well as part of a fast-paced and collaborative team; • Excellent verbal and written communication skills in English.