Technical Officer, Crop Quantitative Genetics
Job in
Saskatoon, Saskatchewan, S7W, Canada
Listed on 2026-08-22
Listing for:
National Research Council Canada / Conseil national de recherches Canada
Full Time
position Listed on 2026-08-22
Job specializations:
-
Research/Development
Research Scientist, Genetics / Genomics, Data Scientist, Biology -
Science
Research Scientist, Genetics / Genomics, Data Scientist, Biology
Job Description & How to Apply Below
The Employment Equity Act , which is under review, uses the terminology Aboriginal peoples and visible minorities.
Candidates are asked to self-declare when applying to this hiring process.
City: Saskatoon
Organizational Unit: Aquatic and Crop Resource Development
Classification: TO-3
Tenure: Term
Duration: 3 years
Language Requirements: English
Work arrangements Due to the nature of the work and operational requirements, this position will require full-time physical presence at the NRC work location identified.
At the NRC, we recognize that Indigenous candidates may have important connections to their communities and you may be eligible for an exception to this work arrangement. Alternative work arrangements may also be considered to accommodate candidates as required. To learn more about these options, please contact the NRC Hiring team using the contact information below.
Anything is possible at the NRC, named in 2025 one of Canada’s Top Employers for Young People, Top Employer in the National Capital Region and Forbes Canada’s Best Employers!
As Canada’s largest research and innovation organization, our world-renowned research pushes the boundaries of science and engineering to make the impossible, possible. Every day we explore new ideas through innovative research and help companies discover possibilities that impact Canada’s future and the world.
At the NRC, you’ll also discover new possibilities. Our supportive workplace fosters a culture of creativity, welcoming fresh perspectives and innovation at all levels. We value teamwork. You’ll collaborate across multiple fields and with the brightest minds to find creative solutions. Most importantly, you’ll discover what’s possible within you as you grow, make valuable contributions and progress in your professional journey.
From ground-breaking discoveries to a life-changing career, discover your possible at the NRC.
The role We are looking for a Technical Officer to support our Crop Quality Genomics and Genetics team within the Aquatic and Crop Resource Development Research Centre (ACRD). The successful candidate would be someone who shares our core values of Integrity, Excellence, Respect and Creativity.
As part of a multidisciplinary team focused on genetic improvement of crop quality traits, the successful candidate will support collection, analysis and interpretation of genetic, genomic, and phenotypic data to identify genomic regions and genes associated with crop quality traits. Responsibilities include contributions to experiment design, planning and implementation, data analysis and interpretation to advance trait discovery and support crop improvement objectives.
This position will also contribute to data management, reproducible analysis workflows, and the communication of results to help prepare the project reports and peer-reviewed publications.
Screening criteria Education
B.Sc. in Plant Science, Crop Breeding, Biology, or related discipline from a recognized university with degree coursework in genetics, plant physiology and molecular biology.
For information on certificates and diplomas issued abroad, please see Degree equivalency
Experience Significant experience in crop plant population development, analyzing large populations or diversity panels, including genetic map construction, QTL mapping and GWAS, maker development and validation.
Significant experience using R or Python to analyze biological, genetic and genomic datasets.
Significant experience with functional genomics, fine mapping, candidate gene identification and validation.
Experience with genomic selection, genomic prediction models, or prediction of complex quantitative traits.
Experience in the full spectrum of research activities including experimental design and execution, ability to work independently, preparing technical reports, figures, presentations, protocols
Asset experience Experience in applying machine learning methods to biological, genomic, phenotypic datasets,…
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