Canada’s Michael Smith Genome Sciences Centre (GSC)
Today’s Research. Tomorrow’s Medicine.
The GSC is a department of the BC Cancer Research Institute and a high-throughput genome sequencing facility. We are leaders in genomics, proteomics and bioinformatics in pursuit of novel treatment strategies for cancers and other diseases.
Among the world’s first genome centres to be established within a cancer clinic, for more than two decades our scientists and innovators have been designing and deploying cutting-edge technologies to benefit health and advance clinical research.
Among the GSC’s most significant accomplishments are the first publication to demonstrate the use of whole-genome sequencing to inform cancer treatment planning, the first published sequence of the SARS coronavirus genome and major contributions to the first physical map of the human genome as part of the Human Genome Project.
By joining the GSC you will become part of an exceptional and diverse team of scientists, clinicians, experts and professionals operating at the leading edge of clinical research. We look for people who share our core values—science, timeliness, respect—to join us on our mission to use genome science for the betterment of health and society.
In accordance with the Mission, Vision and Values, and strategic directions of Provincial Health Services Authority patient safety is a priority and a responsibility shared by everyone at PHSA. As such, the requirement to continuously improve quality and safety is inherent in all aspects of this position.
The Computational Biologist performs bioinformatics analyses and contributes to software development related to the operation of a large-scale clinical sequencing facility. This is a temporary renewable full-time position
- Contributes to the design, development, implementation, validation, running, and maintenance of clinical bioinformatics pipelines and related databases.
- Contributes to incorporation of third-party software into clinical bioinformatics pipelines, including:
- identifying candidate software to consider
- comparing software candidates to aid in selection
- determining optimal parameters for the chosen software
- developing interfaces to integrate the chosen software and
- validating integration of the chosen software
- Participates in the development of novel software solutions, as directed by the Assistant Bioinformatics Coordinator or Clinical Bioinformatics Coordinator.
- Participates in peer code review.
- Contributes to writing and updating official procedures and other documentation related to clinical bioinformatics pipelines.
- Verifies results produced by clinical bioinformatics pipelines.
- Performs exploratory analyses to identify potential root causes of issues encountered during production processing, and implements corrective actions as directed by the Assistant Bioinformatics Coordinator or Clinical Bioinformatics Coordinator.
- Performs bioinformatics analyses to answer questions from the Clinical Director, Clinical Bioinformatics Coordinator, or Assistant Bioinformatics Coordinator.
- Presents implementation plans, analysis results, and validation results internally and externally, in oral presentations and written documentation.
- Contributes to the development of research papers by providing materials, methods, and/or analyzed data.
- Participates in the training of others through orientation, informal instruction, and sharing of job information.
- Performs other related duties as required.
- Graduation from a recognized Bachelor of Applied Science or Bachelor of Science Program in either Biological Sciences or Computer Science.
- Two (2) year’s of recent related experience or an equivalent combination of education, training and experience acceptable to the GSC Group Leaders.
- Demonstrated skill with Python or other similar high level languages
- Functional knowledge of distributed version control systems, such as Git.
- Demonstrated ability in R or other similar statistical programming languages
- Familiarity with relational databases, such as PostgreSQL, and with ORMs
- Ability to program and run analyses in a production environment
- 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 to complete required tasks on time
- Familiarity with next-generation sequencing, cancer genetics, principles of clinical testing, experimental design, statistical hypothesis testing, and/or machine learning would be considered an asset
- Ability to use related equipment
Please submit a detailed cover letter and resume to [email protected], using Job Reference: CB_HSA # 147944_P01060_CCG_2023_06_23 in the subject line of your email.
As this is a union position, you will also have to apply either as an internal or external applicant through http://www.phsa.ca/careers using the posting reference 147944.
While we value and review all applications, please note that due to the volume of submissions only shortlisted candidates will be contacted. This posting will remain online until the position is filled.
All qualified candidates are encouraged to apply; however, Canadian citizens and permanent residents will be given priority.
As per the current Public Health Order, full vaccination against COVID-19 is a condition of employment with PHSA as of October 26, 2021.
Please note all jobs at the GSC are based in Vancouver, British Columbia, Canada. Flexible work options may be available for this position upon request and is subject to change in accordance with GSC’s operational needs and PHSA’s Flexible Work Options Policy.
We believe that equity, diversity and inclusivity are 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.