Position: Bioinformatician, Next-Generation Sequencing
Location: MaRS Centre, Toronto
Reports To: Dr. Paul C. Boutros
Salary: Commensurate with level of experience
Hours: 35 Hrs/week
Status: Full Time, Permanent
Are you an expert in analyzing next-generation sequencing data? The Boutros Lab is seeking a talented Bioinformatician to analyze some of the largest clinical NGS datasets in the world. We want somebody with a deep interest in big-data problems and an in-depth knowledge of NGS data. While experience with cancer NGS is preferred, a strong skillset is most important, and model-organism work is perfect appropriate. This is a role for people with strong applied skills, and the ideal candidate will be able to move from IGV read-level analysis through to developing machine-learning models.
The datasets you would be studying can include (amongst others):
• The Canadian Prostate Cancer Genome Network (CPC-GENE), the largest prostate cancer genomics study in the world, sequencing the whole genomes, methylomes and transcriptomes of 500 prostate cancers
• The ICGC pan-cancer initiative, performing a meta-analysis of >2500 tumour WGS
• The ICGC-TCGA DREAM Somatic Mutation Calling Challenge, a global crowd-sourcing challenge aimed at standardizing NGS analysis methods for cancer data
Your colleagues will be experts in NGS data-analysis and machine-learning, with a track-record of publications in the highest impact journals. It is an inter-disciplinary and integrated team of bioinformaticians, software-engineers and statisticians. There are people here at all levels of training from full-time staff (at the Bachelors, Master’s and PhD levels) to trainees (from undergraduate to post-doctoral). Software development is professional, with test-driven development and continuous integration, and we have a >8000 CPU computing cluster to support our research.
This is a unique opportunity to develop your strong computational skillset and to make a major impact on our understanding of cancer. Join us in studying unique datasets that will help rewrite the textbook of cancer genomics.
• MSc or equivalent education in computational biology, engineering, mathematics, computer sciences or molecular biology
• 1 year to less than 2 years of experience required
• Extensive exposure to cancer NGS data is mandatory (i.e. grad-school and at least one year of real-world experience)
• Strong background with unix/linux tools and administration
• Solid programming skills, preferrably in R/perl, required
• Background in machine-learning is a strong asset, but we will train for strong candidates
• Background in biostatistics, particularly survival or Bayesian techniques
• Experience working with test-driven programming and version control
• Strong communication skills
• Data-Visualization capabilities
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.
POSTED DATE: May 11, 2017
CLOSING DATE: Posted 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.
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