Canada's Michael Smith Genome Sciences Centre (GSC) at BC Cancer is an international leader in genomics, proteomics and bioinformatics for precision medicine. By developing and deploying genome sequencing, computational and analytical technology, we are creating novel strategies to prevent and diagnose cancers and other diseases, uncovering new therapeutic targets and helping the world realize the social and economic benefits of genome science
Learn more about how the GSC is Bringing Genomics to Life.
Why work at the GSC
As the first genome centre to be established within a cancer clinic, our story began by thinking outside of the box. From being the first in the world to sequence the SARS coronavirus during the 2003 global outbreak to publishing the first study demonstrating the use of whole genome sequencing to influence personalized cancer treatment planning in 2010, our passion for pushing scientific frontiers continues to this day.
Our technology platforms enable the transformative science being done at the GSC. But it is our world-class team of scientists and innovators that make it happen. By joining the GSC you will become part of a diverse and dedicated group of biologists, bioinformaticians, computer scientists, computational biologists, biochemists, engineers and clinicians. We look for people who share our core values—science, timeliness and respect—to join us in our mission to provide genomics, bioinformatics and proteomics technology and expertise for the benefit of human health and society.
We believe that diversity and inclusivity is essential for the advancement of human knowledge and science. We welcome all applicants and provide all employees with equal opportunity for advancement, regardless of race, colour, ancestry, place of origin, political belief, religion, marital status, family status, physical or mental disability, sex, sexual orientation, gender identity or expression, age, conviction of a criminal or summary conviction offence unrelated to their employment
All qualified candidates are encouraged to apply; however, Canadian citizens and permanent residents will be given priority.
*Due to COVID-19 restrictions, the position would require working remotely. This restriction would be re-evaluated upon re-contracting.
Job Code: CBA HSA Req# 96500
The Genome Sciences Centre is seeking a temporary full-time Computational Biologist to join our analysis team in a state of the art, high throughput genomics facility. The successful applicant will participate in the analysis of sequencing data by developing, refining and adapting bioinformatics tools for high-throughput processing pipelines. We seek candidates with strong coding experience in Python or other high-level object-oriented languages (e.g. C/C++, Java etc). Experience with statistical analysis and handling of biological data are also desirable. The role is ideally suited for a creative individual with a strong interest in software development and data analysis within an academic setting. Packaging and distribution of developed tools and analysis results to the scientific community and contribution to preparation of scientific publications are expected.
- Develops and maintains core analysis pipelines at the GSC, such as:
- Somatic and single sample variant calling on whole genomes, exomes and transcriptomes (eg SNVs, indels, CNVs, LOH)
- De novo assembly of short read sequences and identification of putative structural variants.
- Gene and transcript expression quantification and differential expression
- Microbial classification and detection
- New analyses pipelines as required
- Performs statistical and population analysis of large cohorts of biological data.
- Responds to analysis requests from the scientific community by running core pipelines, additional statistical analyses, suggesting analyses where appropriate, preparing presentations of results to collaborators and responding to collaborator questions on results.
- Prepares data visualization for publication or oral presentations.
- Presents results of analysis or software testing internally and externally
- Performs literature searches, testing and validation of new data analysis software.
- Performs other related duties as required.
Education, Training and Experience
- Graduation from a recognized Bachelor of Science Program in Computer Science or equivalent with a significant genomics, statistical and computer science components.
- Two years of recent related experience or an equivalent combination of education, training and experience acceptable to the GSC Group Leaders.
Skills and Abilities
- Proven expertise with Python and or other similar high level languages
- Demonstrated ability in R or other similar statistical programming languages and in statistical analysis
- Ability to program and run analysis in a production environment
- Functional knowledge of distributed version control systems, such as GIT
- Excellent verbal and written communication skills.
- Comfortable working in a Unix environment, including experience with shell scripting and common command-line tools
- Demonstrated interpersonal skills including the ability to work effectively with others in a team environment.
- Demonstrated ability to efficiently organize work assignments and establish priorities.
- Previous experience in a bioinformatic setting, though not required, would be considered an asset
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