Research Assistant

Job summary

Code and analyze data using R, Stata, and oTree. Use LaTeX and LLM-assisted text classification in support of research.

Job details

Posting Reason: New Position Location where work is to be performed: Main Campus Session: 2027 Winter Semester | Trimestre d'hiver Faculty: Faculté des sciences sociales / Faculty of Social Sciences Unit: Department of Economics_Isabelle Salle_JM Job Classification: Research Assistant (CUPE) Posting Type: Recherche / Research Course Title: N/A Course Code: N/A Section: Supervisor name (if known): Isabelle Salle Date Posted (YYYY/MM/DD): 2026/10/14 Applications must be received BEFORE (YYYY/MM/DD): 2026/10/28 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: janvier 04, 2027 Work End Date: avril 04, 2027 Total Work Hours: 130 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: Responsibilities: Coding and data analysis (R, stata, otree), Latex, LLM assisted text classification Qualifications: MA economics 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

Code and analyze data using R, Stata, and oTree. Use LaTeX and LLM-assisted text classification in support of research.

Requirements

A master's degree in economics is required. The role calls for coding and data analysis skills, familiarity with R, Stata, oTree, and LaTeX, and the ability to use LLM-assisted text classification.

Listed skills

• Data analysis · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Coding
• Data Analysis
• R
• Stata
• oTree
• LaTeX
• LLM-Assisted Text Classification
• Economics
• Employment Equity
• Workplace Inclusivity
• Research
• Teaching
• Creativity
• English Language
• R (Programming Language)
• Innovation
• Social Sciences
• Text Classification
• Teamwork

Job areas

• Science & Research
• Data & Analytics
• Research Assistant
• Survey and Market Research Interviewers
• Social Science Research Assistants

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