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: [email protected].
• Inquiries regarding this position can be directed to Monidipa Saha, [email protected]
• Where a graduate student is appointed to this position, it will be in-scope of PSAC.