Research Associate

This Junior Researcher position sits within the Airbel Impact Lab and supports the Education Unit across multiple research projects. The role focuses primarily on data management and analysis — including cleaning and processing both quantitative and qualitative datasets — as well as synthesizing findings into clear, accessible reports for varied audiences. This is an excellent opportunity for an early-career researcher to build hands-on experience in humanitarian education research. The role reports to the Senior Researcher for Education in the Airbel Impact Lab and works closely with the Education Technical Unit.

• Conduct quantitative and qualitative research activities across multiple education research projects, including cleaning, organizing, managing, and analyzing data; ensuring data quality and integrity; and producing high-quality reports for diverse audiences.
• Support implementation research studies to identify whether education interventions are being delivered as intended, with appropriate quality and fidelity, and potential for cost-effectiveness.
• Support randomized control trials to identify the impact of interventions on children's foundational learning and wellbeing.
• Support an internal education research team by contributing to the advancement of research priorities under the supervision of senior researchers.
• Contribute to the dissemination of research findings by drafting reports, briefs, and blog posts for practitioner and policy audiences.
• Collaborate with colleagues within the Education team, Research team and R&D team, and other IRC departments in support of research activities.
• Perform other related duties as assigned.

• MA required in Education, Economics, Statistics, or related field.
• Excellent knowledge of quantitative research methods, including inferential statistics and qualitative approaches; exposure to implementation research and causal inference.
• Demonstrated experience in data cleaning, management and analysis; with proficiency in at least one statistical or data analysis tool e.g. Stata, R, Python.
• Familiarity with qualitative data methods e.g. thematic analysis, content analysis is desirable.
• Up to three years of experience in research, data analysis, or a related field; relevant internship, academic research, or volunteer experience will be considered.
• Strong written communication skills, including the ability to present research findings clearly and accessibly for non-specialist audiences; experience drafting reports, summaries, or briefs is an asset.
• Strong organizational skills with the ability to manage competing priorities, work effectively under pressure, and adapt in a fast-paced team environment.
• Fluent in English required; proficiency in French or Arabic language preferred.