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Current Opportunities

Bioinformatician, CPC-GENE - Toronto, Ontario

Position:                    Bioinformatician

Site:                            MaRS Centre, Toronto

Department:             Informatics and Bio-computing

Reports To:               Principal Investigator,

                                    Informatics & Bio-computing (Dr. P. Boutros)

Salary:                       Commensurate with level of experience

Hours:                        35 Hrs/week

Status:                       Full-time, Contract (1-3 years)

 


The Ontario Institute for Cancer Research (OICR) is seeking a Bioinformatician to work with the Informatics and Bio-computing team.

Are you an expert in next-generation sequencing? The Ontario Institute for Cancer Research (OICR) is seeking a talented Bioinformatician to focus on the analysis of large next-gen sequencing datasets. The successful candidate will have an extensive interest in large-data problems, and an in-depth knowledge of data-handling. This position also involves a very substantial analysis component.  The successful candidate will be working closely with systems administrators, statisticians, PhD students, and post-doctoral associates on:

• Optimization and parallelization of algorithms for the analysis of genome-sequencing data;
• Integration of diverse datasets into unified statistical models;
• Automating procedures for pipeline evaluation and assessment;
• Automation of routine programming and data-analysis tasks; and
• Downstream data-modeling, including pathway analysis and clinical association studies.

The successful candidate will be working on the Canadian Prostate Cancer Genome Network (CPC-GENE), a project studying 500 prostate cancer patients. Via this project, the research team is generating multiple independent genomic analyses, including mRNA and DNA microarrays, RNA-seq, whole genome-sequencing (PacBio and Illumina Hi-Seq), and some limited RNAi functional screen data. Rich clinical annotation is available on these samples.  Analyses are performed on cutting-edge IT infrastructure including a multi-petabyte storage system and a >6,500-core compute farm.


QUALIFICATIONS

• University degree in computational biology, engineering, mathematics, computer sciences or molecular biology
• Strong background with Unix/Linux tools and administration required
• Exposure to next-generation sequencing data required
• Experience in high performance computing on a large scale cluster using Sun Grid Engine (SGE)
• Experience in software and database programming (e.g., R, Perl, SQL)
• Experience working with test-driven programming and version control preferred
• Proven experience with bioinformatics resources and/or databases preferred
• Statistical background in machine-learning, survival or Bayesian techniques is an asset
• Knowledge of molecular and/or cancer biology is an asset


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 and Innovation.

For more information about OICR, please visit the website at www.oicr.on.ca.

POSTED DATE:   February 28, 2013
CLOSING DATE:   Posted until filled

OICR has a diverse workforce and is an equal opportunity employer.

The Ontario Institute for Cancer Research thanks all applicants. However, only those under consideration will be contacted. 
Resume Format:  If you elect to apply, you will need a text or HTML version of your resume so that you can cut and paste it into the application box provided. Before you submit the completed application, you will be asked to attach one or two files to your application.  Please attach your resume as a .doc file.
 

 

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