Jobs

About OICR

OICR is Ontario’s cancer research institute. We bring together people from across the province and around the world to improve the lives of everyone affected by cancer. We take on the biggest challenges in cancer research and deliver real-world solutions to find cancer earlier and treat it more effectively. We are committed to helping people living with cancer, as well as future generations, live longer and healthier lives.

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

Job Details

Position: Bioinformatician II

Location: MaRS Centre, Toronto

Department: Computational Biology (Genome Sequence Informatics)

Reports To: Senior Manager

Salary: Commensurate with level of experience; total compensation includes a competitive benefits plan, plus a defined benefit pension plan (HOOPP)

Hours: 35 hours/week

Job Type: Hybrid

Status: Full-time, Permanent

Position Summary

The Ontario Institute for Cancer Research (OICR) is seeking two (2) experienced and passionate Bioinformaticians to join the Genome Sequence Informatics (GSI) team at OICR. The Bioinformatician functions in a junior to intermediate technical role that requires an individual with proven skills in both biology and computing, and who is dedicated to supporting a multi-disciplinary team of scientists, laboratory technicians, and informatics professionals.

GSI is part of the Genomics program at OICR (https://genomics.oicr.on.ca/) and supports the sequencing teams that manage clinical and research projects. GSI designs applications to streamline and automate analysis, manage the data lifecycle, and create useful and dynamic reports at scale. We ensure that data flows smoothly, securely and correctly from the lab through to the clinicians and researchers who use it. We use languages and software tools like Java, Python, Perl, Javascript, OpenStack, Open Grid Engine, Univa, MySQL and PostgreSQL.

The main areas covered by GSI are:

• Lab tracking: Develop the open source MISO LIMS (https://miso-lims.github.io) augmented by other applications.
• Pipeline/Data management: Develop and run workflow systems like Vidarr (https://oicr-gsi.github.io/vidarr/) and Cromwell (https://cromwell.readthedocs.io) to automate and streamline data analysis, tracking, and workflow management.
• Data release: Delivery of sequencing and analysis, archiving of data for long term storage and deposition of data to public archives.
• Reporting: Maintain of a suite of specialized reports for quality control, forecasting, and lab operations, and to accompany data delivery.
• Analysis: Development of analysis workflows to run in our pipeline system, and development of tools supporting analysis tracking and data management. Conducting project-specific analysis on sequencing data with an emphasis on cancer genomics, both for internal research projects and for collaborators.
• Cancer Genome Interpretation: Analyze and interpret genomic data using accredited pipelines and processes for clinical purposes.

The UBC Michael Smith Laboratories at the University of British Columbia in Vancouver invites applications for a Research Associate (RA) position in Evolutionary Biochemistry to join the laboratory of Dr. Nobuhiko Tokuriki. The successful candidate will use microfluidic systems to perform single enzyme kinetics and high-throughput enzyme screening. The candidate will work on enzyme systems including alkaline phosphatase, phosphotriesterase, and APOBEC.

AdLab, a bioinformatics laboratory in the Research Center of the CHU de Québec – Université Laval is deeply involved in data integration, machine learning, deep learning, and the application of large language models to analyse biological big data. Its multidisciplinary team consists of bioinformaticians, data scientists, and biostatisticians working together to push the boundaries of computational biology.

The rapid advancements in ‘omics’ technologies—such as genomics, transcriptomics, proteomics, and metabolomics—are revolutionizing our understanding of biological mechanisms. These technologies, however, generate vast amounts of heterogeneous data that require sophisticated computational approaches. AdLab  is dedicated to developing cutting-edge tools and pipelines to efficiently process and integrate multi-omics data, particularly those obtained from next-generation sequencing platforms and including single-cell and proteomics data. To support this mission, we are seeking a skilled bioinformatician to join our team.

The University of Calgary’s Charbonneau Cancer Institute has a thriving research program focused on multi-omic profiling of cancer patients for precision medicine applications to cancer patients in Alberta and beyond. This program is integrated within the Marathon of Hope Cancer Centers Network, a pan-Canadian initiative aiming to close the gap between research and patient care. In this position, the recruited bioinformatician will (1) analyze multi-omic datasets to identify and study therapeutic targets for precision therapy in solid tumors, and (2) contribute to implementation of a clinical reporting system of molecular data results.

Position: Bioinformatician I
Location: MaRS Centre, Toronto
Department: Drug Discovery Program
Reports To: Scientific Advisor
Salary: Commensurate with level of experience; total compensation includes a competitive benefits plan (Sun Life), plus a defined benefit pension plan (HOOPP)
Hours: 35 hours/week
Job Type: Hybrid
Status: Full-Time, Temporary (1-year contract with possible conversion to permanent position)

The Ontario Institute for Cancer Research (OICR) is seeking a Bioinformatician who possesses the relevant training to join the Drug Discovery (DD) Program. The program aims to help efficiently translate discoveries made in Ontario’s labs into novel oncology therapies, spanning the entire drug discovery process from target identification and validation to clinical candidate selection.  The DD Program is collaborating with OICR’s Adaptive Oncology (AO) to develop computational tools to identify and prioritize biological targets and biomarkers. The AO Program seeks to develop knowledge and approaches to monitor cancer over time and in response to treatment, to enable precise and proactive clinical management.

This position is temporary, full-time for one-year, with the possibility of conversion to a permanent position.

The successful candidate will work closely with data scientists and biologists from OICR’s Adaptive Oncology and Drug Discovery programs to co-develop novel algorithms/methods and pipelines for target/biomarker discovery. This is an exciting opportunity to learn about the latest developments in drug discovery and the use of various bioinformatic and machine learning approaches in computational biology, while contributing to the development of new treatments for cancer.

While most work is completed remotely, there will be occasional onsite team meetings or events, where attendance is expected.

About OICR

OICR is Ontario’s cancer research institute. We bring together people from across the province and around the world to improve the lives of everyone affected by cancer. We take on the biggest challenges in cancer research and deliver real-world solutions to find cancer earlier and treat it more effectively. We are committed to helping people living with cancer, as well as future generations, live longer and healthier lives.

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.

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