Research Assistant

Job summary

The research assistant will support a SSHRC-funded project by collecting and cleaning data, performing regression analysis, and organizing code. Additionally, they will assist with the preparation of replication packages and the copy-editing of research manuscripts.

Job details

Posting Reason: New Position Location where work is to be performed: Main Campus Session: 2026 Fall Semester | Trimestre d'automne Faculty: Faculté des sciences sociales / Faculty of Social Sciences Unit: École supérieure d'affaires publiques et internationales Job Classification: Research Assistant (CUPE) Posting Type: Recherche / Research Course Title: N/A Course Code: N/A Section: Supervisor name (if known): Date Posted (YYYY/MM/DD): 2026/10/16 Applications must be received BEFORE (YYYY/MM/DD): 2026/10/29 Description of tasks (hours): Unless specified below, specific allocation of hours to various tasks should be articulated in a description of work negotiated and signed by you and the supervising professor prior to the commencement of work. Recherche / Research:0 Préparation / Preparation:0 Contact avec étudiants / Contact with Students:0 Correction - Notation / Grading:0 Surveillance / Proctoring:0 Formation / Training:0 Autre / Other:0 Number of positions: 1 Expected Enrolment: N/A Work Start Date: October 30, 2026 Work End Date: December 22, 2026 Total Work Hours: 115.7 Hourly Rate: AE-RA-Tuteur / TA-RA-Tutor : $33.83 ou/or $53.31 (Sept. 2026 - Aug. 2027) Undergraduate students will be paid at the lower rate; while graduate students will be paid at the higher rate. These rates do not include vacation pay nor statutory pay. Method of Delivery: N/A Language of Work: Anglais | English Requirements and Nature of Work: Nature of Work: The student will support a SSHRC-funded research project examining the design of green procurement policies across Canada and their effects on firm-level innovation outcomes. The student will perform the following tasks: • Data collection, entry, and cleaning. • Producing descriptive graphs and figures. • Assisting with regression analysis. • Organizing and verifying program code and raw data files. Assisting with the preparation of replication packages. • Assisting with formatting and copy-editing research manuscripts. Qualifications: Prior graduate-level training in natural resources management, environmental policy, environmental governance, or environmental economics. • Strong quantitative research skills, including fluency in R and/or Stata programming language. Working knowledge of Excel and of SQL is an asset. • Interest in learning and applying computational approaches for policy text analysis. • Interest in learning about the field of policy process/policy design. • Interest in learning about the field of green innovation policy. Additional Information and/or Comments: All University of Ottawa employees are required under provincial law to successfully complete all mandatory legislated training offered by the University. The list of training requirements may be modified by provincial law. If you are invited to continue the selection process, please notify us of any particular adaptive measures you might require. We may consult with the Health and Wellness sector of Human Resources, if needed. Any information you send us will be handled respectfully and in complete confidence. The hiring process will be governed by the current CUPE 2626 collective agreement; you can click here to find out more. The University of Ottawa embraces diversity and inclusion in the workplace. We are passionate about our people and committed to employment equity. We foster a culture of respect, teamwork and inclusion, where collaboration, innovation, and creativity fuel our quest for research and teaching excellence. While all qualified persons are invited to apply, we welcome applications from qualified Indigenous persons, racialized persons, persons with disabilities, women and LGBTQIA2S+ persons. The University is committed to creating and maintaining an accessible, barrier-free work environment. The University is also committed to working with applicants with disabilities requesting accommodation during the recruitment, assessment and selection processes. Applicants with disabilities may contact the academic unit to communicate the accommodation need. Prior to May 1, 2022, the University required all students, faculty, staff, and visitors (including contractors) to be fully vaccinated against Covid-19 as defined in Policy 129 – Covid-19 Vaccination. This policy was suspended effective May 1, 2022 but may be reinstated at any point in the future depending on public health guidelines and the recommendations of experts.

What you’ll do

The research assistant will support a SSHRC-funded project by collecting and cleaning data, performing regression analysis, and organizing code. Additionally, they will assist with the preparation of replication packages and the copy-editing of research manuscripts.

Requirements

Candidates must have graduate-level training in natural resources management, environmental policy, or related fields. Strong quantitative research skills, including fluency in R or Stata, are required for this position.

Listed skills

• Data entry · Preferred
• Microsoft Excel · Preferred
• SQL · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Data collection
• Data entry
• Data cleaning
• Regression analysis
• R
• Stata
• Excel
• SQL
• Policy analysis
• Copy-editing
• Research manuscripts
• Green procurement
• Environmental policy
• Environmental economics
• Computational approaches
• Employment Equity
• Workplace Inclusivity
• Research
• Teaching
• Copy Editing
• Natural Resource Management
• Procurement
• Creativity
• Data Collection
• English Language
• Environmental Economics
• Environmental Governance
• Environmental Policy
• R (Programming Language)
• Innovation
• Regression Analysis
• Quantitative Research
• Social Sciences
• SQL (Programming Language)
• Text Mining
• Teamwork

Job areas

• Science & Research
• Education
• Environmental & Sustainability
• Data & Analytics
• Government & Public Sector
• Research Assistant
• Survey and Market Research Interviewers
• Social Science Research Assistants

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