Job Overview/Summary: 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. Major Responsibilities: 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. Job Requirements: 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. Working Environment: Standard office work environment

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