Continuing Medical Education, University of Saskatchewan

Casual Research Assistant, College of Pharmacy and Nutrition

Saskatoon, SK
Hybrid
Posted Oct 16, 2026
1 position

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Employment type: Part-time, Temporary
Experience level: Mid-level · 2+ years
Minimum education: Bachelor’s degree
Apply by: Oct 23, 2026
Posting language: English
Working hours: 20 hours per week

Job summary

The Research Assistant will provide statistical and methodological expertise to support the design, implementation, and analysis of health and nutrition research studies. Responsibilities include developing analysis code, preparing statistical analysis plans, and communicating findings through reports and manuscripts.

Job details

Casual Research Assistant, College of Pharmacy and Nutrition In the appointment of Research Assistant, your general duties and responsibilities will be: Provide statistical and methodological expertise to the Lab’s ongoing projects to support the design, implementation, analysis, and interpretation of health and nutrition research studies. The position will develop and apply statistical methods using Python, SAS, and R; adapt and maintain existing code; contribute to study design; and prepare statistical analysis plans and research outputs. Your general location of work will be hybrid and you will report to Dr. Hassan Vatanparast. Required Number of Hours: 20 hours (casual employment, depending on Vatanparast Nutritional Lab’s priorities. Qualifications: Formal education from the University of Saskatchewan or another recognized post-secondary institution in a relevant field of study, such as Biostatistics, Epidemiology, Public Health, Health Sciences, Data Science, or a related discipline. Candidates must have relevant experience in statistical methods in health research. Typical Duties or Accountabilities: Design and conduct statistical analyses for health, nutrition, and related research studies using Python, SAS, and R. Develop, adapt, document, and maintain reproducible analysis code, including code based on existing databases and codebases. Contribute statistical expertise to study design, including sampling, variable definition, power or sample-size considerations, analytic approaches, and interpretation of results. Prepare, review, and implement statistical analysis plans. Analyze complex survey data using survey weights and appropriate variance-estimation methods, including bootstrap replicate weights. Work with nutritional and population-health datasets, including data cleaning, management, linkage, and quality assessment. Collaborate with researchers and team members to identify appropriate statistical methods and address methodological challenges. Interpret and communicate statistical findings clearly in reports, manuscripts, presentations, grant applications, and other research products. Ensure that analyses are accurate, reproducible, well documented, and aligned with study protocols and research objectives. Support the development of publications, technical reports, knowledge-translation materials, and presentations. Provide statistical consultation, mentorship, and technical guidance to trainees or research staff, as appropriate. Stay current with relevant statistical methods and contribute to improving the laboratory’s analytic practices and infrastructure. To Apply: Send your application materials to: monidipa.saha@usask.ca. Inquiries regarding this position can be directed to Monidipa Saha, monidipa.saha@usask.ca Where a graduate student is appointed to this position, it will be in-scope of PSAC. Department: College of Pharmacy & Nutrition Status: Casual Employment Group: Graduate Students - PSAC Rate of Pay: Current rates of pay Posted Date: 10/16/2026 Closing Date: 10/23/2026 Number of Openings: 1 Work Location: On Campus #LI-DNI The University of Saskatchewan aspires to be what the world needs and embraces equity, diversity and inclusion as foundational to excellence and innovation. We actively seek to create a welcoming environment where all individuals feel empowered to thrive, contribute, and grow. Applications from equity-deserving groups are encouraged as part of our ongoing efforts to reflect the diversity of the communities we serve: EDI Framework for Action. We continue to grow our partnerships with Indigenous communities across the province, nationally, and internationally and value the unique perspective that Indigenous employees provide to strengthen these relationships. Verification of Indigenous Membership/Citizenship at the University of Saskatchewan is led and determined by the deybwewin | taapwaywin | tapwewin: Indigenous Truth policy and the Standing Committee in accordance with the processes developed to enact the policy. Successful candidates that assert Indigenous membership/citizenship will be asked to complete the verification process of Indigenous membership/citizenship with documentation. The University of Saskatchewan provides an accessible and inclusive workplace. Should you require support through any stage of the recruitment process, please contact us for assistance.

What you’ll do

Requirements

Candidates must have formal education in a relevant field such as Biostatistics, Epidemiology, or Data Science from a recognized institution. Relevant experience in statistical methods applied to health research is required.