Institution/Company:

Ontario Institute for Cancer Research

Location:

Toronto

, Ontario

 Canada

Job Type:

Staff

Degree Level Required:

Masters

443 days ago Apply now
Description:

Position: Bioinformatician II
Site: MaRS Centre, Toronto
Department: Genome Sequence Informatics
Reports To: Manager, Genome Interpretation
Salary: Commensurate with level of experience
Hours: 35 hours/week
Status: Full-time, Permanent

The Ontario Institute for Cancer Research (OICR) is seeking a Bioinformatician for the Clinical Genome Interpretation (CGI) group, part of the Genome Sequence Informatics (GSI) team. The successful candidate will function in an intermediate technical role that requires an individual with proven skills in both biology and computing, and who is dedicated to supporting a multidisciplinary team of scientists, laboratory technicians, and informatics professionals.

The Bioinformatician will provide support for the management and analysis of next-generation sequencing data and the operation of a high-throughput production sequencing data analysis pipelines in OICR’s 5600+ core HPC computing environment.

OICR has a mandatory COVID-19 vaccination policy in place that requires proof of full COVID-19 vaccination or proof of a medical exemption issued pursuant to the Government of Ontario guidelines. Accordingly, as a condition of employment, new employees who may be required to work on-site are required to be fully vaccinated for COVID-19 subject to the duty to accommodate on the basis of protected grounds pursuant to the Ontario Human Rights Code.

Fully vaccinated is defined as having received all of the required doses of a Health Canada approved vaccine and having received the final dose at least 14 days before your employment start date.

As described above, the requirement to be fully vaccinated is subject to the Ontario Human Rights Code. If the candidate is unable to receive the COVID-19 vaccine for a reason protected by the Code, requests for accommodation from the vaccine policy will be assessed on a case-by-case basis.

To learn more about working at OICR, visit our career page.

 

Responsibilities:

The responsibilities include:

  • Developing software to facilitate uptake of clinical sequencing data by interpretation software
  • Developing tools/software to evaluate performance and statistical validation of clinical sequencing data
  • Perform final stage analysis on next-generation sequencing data of clinical cancer genomes and transcriptomes from sequence information to CAP/CLIA-certified reports
  • Continuous interaction with the production development team to ensure that the NG sequencing software pipeline is consistently, reliably, efficiently and correctly processing data
  • Ensure that data is managed efficiently, securely, and without loss or corruption through its lifecycle
  • Investigating and/or developing cutting-edge bioinformatics software for potential clinical utility and integration within the clinical genomics pipeline (ie. mutation signatures, immune repertoire analysis, single-cell sequencing)
  • Prepare clinical reports for sign-off by Canadian College of Medical Geneticist (CCMG) certified Director

 

Qualifications:

Qualifications:

  • Master’s (MSc) degree or equivalent experience in related discipline, with demonstrated experience in the skill set
  • Demonstrated knowledge of cancer genomics
  • Demonstrated experience interpreting data generated from best-practice pipelines for analyzing NGS data including variant calling pipelines for WGS/Transcriptome sequencing
  • Significant knowledge of NGS data processing tools (samtools, GATK, IGV, etc)
  • Proficiency working with large-scale datasets in a Unix environment
  • Proficiency with a scripting and/or statistical analysis language is preferred (Python, R)
  • Must have excellent communications and interpersonal skills
Additional Information:

OICR is a collaborative, not-for-profit research institute accelerating the development of new cancer research discoveries for patients around the world while maximizing the economic benefit of this research for the people of Ontario. We are dedicated professionals who bring expertise to each of our roles. We are looking for individuals who share our values of excellence, innovation, collaboration, impact, responsibility and community.

Launched in December 2005, OICR is an independent institute funded by the Government of Ontario through the Ministry of Colleges and Universities.

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

CLOSING DATE:       Until Filled

OICR is committed to fostering a climate of equity, diversity, inclusion, and accessibility. This commitment is central to, and mutually supportive of, our research excellence mandate. We welcome and respect the diversity of all members of our community and we support an inclusive culture for all. We welcome all applicants, and encourage applications from racialized persons, Indigenous Peoples, women, persons with disabilities, LGBTQ2S persons, and others who may contribute to furthering a diversity of ideas within our community. OICR is committed to fair assessment of a candidate’s abilities, and consideration for diversity of thought, method, and experience. Providing an accessible workplace and recruitment process is important to us, as described in our Accessibility Plan (https://oicr.on.ca/accessibility/).  Should you require accommodation during any stage in the recruitment process, please complete the form at the bottom of page https://oicr.on.ca/careers/. Information received related to accommodation will be handled confidentially.

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 .pdf or .doc file.

Keywords:

Bioinformatician

Genome Sequence

Python

NGS data

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