Computer Specialist , AI Data Readiness and Model Integration (Saskatoon)

Computer Specialist , AI Data Readiness and Model Integration (Saskatoon)

04 Aug
|
National Research Council Canada / Conseil national de recherches Canada
|
Saskatoon

04 Aug

National Research Council Canada / Conseil national de recherches Canada

Saskatoon

Priority may be given to the following designated employment equity groups: women, Indigenous Peoples* (First Nations, Inuit and Métis), persons with disabilities and racialized persons*.

The Employment Equity Act, which is under review, uses the terminology Aboriginal peoples and visible minorities.

OrganizationalUnit: Aquatic and Crop Resource Development

Language Requirements: English

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. 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!

Every day we explore new ideas through innovative research and help companies discover possibilities that impact Canada’s future and the world.

You'll collaborate across multiple fields and with the brightest minds to find creative solutions. We're looking for a genomics and artificial intelligence (AI) computer specialist to join our Comparative and Regulatory Genomic Technologies (CGRT) team within the Aquatic and Crop Resource Development (ACRD) Research Centre in Saskatoon. As part of a multidisciplinary team focused on combining advanced genomic technologies and machine learning to develop a predictive understanding of plant biology, this position will support NRC’s data driven genomics and AI integration initiatives.





The position will be involved in the computational aspects of data generation, standardization, quality control, metadata handling, bioinformatics data processing to model-ready formats as well as model training, model validation and model deployment. A primary initial objective will be to enable data readiness for modelling by encapsulating and standardizing key data processing pipelines for ACRD.

Applicants must demonstrate within the content of their application that they meet the following screening criteria in order to be given further consideration as candidates:

Bachelor’s degree in computer science, bioinformatics, computational biology, or a related discipline.

A Technical College diploma in Computer Science or related field or an equivalent combination of education and direct experience may be considered.

Experience in bioinformatics analysis in a Linux computing environment using programming languages such as Python, R, or Bash scripting.

Recent experience with genomic data formats (e.g., FASTQ, BAM, VCF, GTF, CRAM) and command-line analysis tools (e.g., Experience applying FAIR data principles, metadata standards, and database integration methods would be considered an asset.

Familiarity with AI/machine learning frameworks (TensorFlow, PyTorch, scikit learn)



and data preparation for predictive modelling would be considered an asset.

Experience working in a team-oriented multidisciplinary setting would be considered an asset.

Language requirements English

Technical competencies Solid knowledge of bioinformatics principles, genomic data structures, and workflow automation.

Solid* ability to design and implement reproducible data processing pipelines using workflow management tools and containerization.

Ability to manage and integrate metadata following FAIR data principles.

Solid* knowledge of machine learning and predictive modelling data preparation techniques.

Solid - a working level knowledge used by fully qualified individuals to solve day to day problems and address normal issues.

Technology support - Initiative (Level 2)

Technology support - Communication (Level 2)

Technology support - Results orientation (Level 2)

Technology support - Teamwork (Level 2)

Technology support - Conceptual and analytical ability (Level 2)

NRC employees enjoy a wide-range of competitive benefits including a robust pension plan, comprehensive health and dental coverage, disability and life insurance, office closure at the end of December, and additional supports to enhance your well-being throughout your career and beyond.

In 2025, the NRC was chosen as one of Canada’s Top Employers for Young People, a National Capital Region Top Employer and Forbes Canada’s Best Employer.

Relocation assistance will be determined in accordance with the NRC's directives.

Preference will be given to Canadian Citizens and Permanent Residents of Canada.

Telephone: (phone hidden)

📌 Computer Specialist , AI Data Readiness and Model Integration (Saskatoon)
🏢 National Research Council Canada / Conseil national de recherches Canada
📍 Saskatoon

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