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Current Opportunities

Post-doctoral Fellow- Informatics - Toronto, Ontario

Position: Postdoctoral Fellow, Informatics
Site: MaRS Centre, Toronto
Department: Informatics 
Reports To: Dr. Paul C. Boutros
Salary: Commensurate with level of experience
Hours: 35 Hrs/ Week
Status: Full-Time, Contract (1-3 Years)

Boutros lab develops and applies data science techniques to generate clinically-useful biomarkers for cancer patients. By generating these biomarkers from very large genomic, imaging and clinical datasets, we aim to personalize therapy and thus improve the quality of life and survival of patients.

The datasets we work with include all types of genomics (germline and somatic WGS, RNA-Seq, methylome, ChIP-seq, MS-based proteomics, etc.), cellular- and tissue-imaging and extensive clinical and epidemiological information. Patient cohorts range from a few dozen to a few thousand, giving robust statistical power. The size and complexity of these data lead to numerous problems in algorithm-development for feature-detection and data-quality, in benchmarking, and in machine-learning and data-integration. These are the types of problems that post-doctoral associates in the lab will tackle.

OICR and the Boutros lab provide a robust training environment to prepare enthusiastic post-doctoral associates for positions in academia and industry. We have access to very large computing environments, and have deep integrations with the major cancer-sequencing consortia that provide unique opportunities for networking and early data-access. If you have a strong background in genomics, computational biology or computer science, we would love to talk to you!

Required Qualifications

  • PhD in genomics, computational biology, or a related field
  • Proven (peer-reviewed publication) experience with at least one of:
    • Germline next-generation sequencing data analysis
    • Somatic next-generation sequencing data analysis
    • GWAS or genetic epidemiology
    • Proteomic data analysis
    • Bayesian statistical modeling
    • Survival analysis
    • Machine-learning
    • Systems biology
    • Image-analysis (cellular or clinical imaging)

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.

CLOSING DATE: Until Filled

OICR is an inclusive employer dedicated to building a diverse workforce. We encourage applications from all qualified candidates and will accommodate applicants’ needs throughout all stages of the recruitment and selection process. Please advise the Recruiter to ensure your accessibility needs are accommodated throughout this process. Information received relating to accommodation will be addressed confidentially.

The Ontario Institute for Cancer Research thanks all applicants. However, only those under consideration will be contacted. Candidates will be expected to provide their current employer as a reference.

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.