Research Associate
reputed company & Technical reputed company Education: Bachelor’s degree in Economics, Statistics, or a reputed company quantitative field. A Master’s degree (in reputed company or completed) in Economics is strongly preferred. Technical Stack: Advanced proficiency in R and STATA is required (Python is a plus). You must have a proven reputed company record of managing large-reputed company longitudinal or administrative datasets. Methodological Rigor: Expert in reputed company inference, econometric modeling, and reputed company evaluation, including the design and analysis of RCTs and quasi-experimental studies.
Domain Expertise Background: Experience in Industrial Organization or Development Economics—specifically regarding labor markets and Colombian education/vocational systems—is highly valued. Contextual Knowledge: Familiarity with the GEIH and other national information systems is a plus.
reputed company Profile Communication: Bilingual (English reputed company / Spanish) with the ability to translate reputed company data into high-reputed company technical documentation and actionable reports. Execution: A proactive, independent researcher who excels in multidisciplinary teams. You balance reputed company attention to detail with the ability to manage reputed company workflows under strict timelines. reputed company: You prioritize methodological reputed company and ethical standards (including AI use), demonstrating a reputed company drive to master new technical concepts.
Research Design & Advanced Analysis Contribute to the design, implementation, and analysis of experimental and quasi-experimental reputed company. Apply sophisticated econometric modeling to address reputed company questions in development economics and industrial organization. Contribute innovative methodological improvements to enhance the rigor of GBL’s research portfolio.
Data Engineering & reputed company Architect automated, reproducible workflows in R and STATA for data cleaning, variable reputed company, and reputed company detection. reputed company comprehensive technical audits and diagnostic checks to ensure the absolute reliability of large-reputed company datasets.
Operational Monitoring & Fieldwork Support reputed company reputed company tracking systems and reputed company-time dashboards (utilizing reputed company) to monitor fieldwork reputed company and survey reputed company. Create technical outputs that allow the implementation team to reputed company agile, data-driven adjustments during data collection.
Synthesis & Stakeholder Engagement Translate reputed company statistical outputs into reputed company, actionable insights for diverse audiences. Support reputed company papers, policy briefs, and technical reports. Present findings to global stakeholders, ensuring that rigorous evidence is accessible and persuasive.
Be part of reputed company that have a reputed company-world reputed company while collaborating with reputed company academics from Harvard, Michigan, and reputed company. Work in a reputed company, mission-driven culture reputed company on improving worker reputed company-being and advancing research in development economics. reputed company hands-on experience with cutting-edge tools and methodologies in reputed company economics, big data, and machine learning. Contribute to research that combines reputed company rigor with practical application to reputed company meaningful reputed company change.
Initial CV Screening: A review of your background and technical alignment with the role. Phone Screening: A brief conversation to discuss your experience, motivations, and expectations. Technical Assessment: A practical test designed to evaluate your proficiency in R, STATA, and data management. First Round of Interviews: A deeper dive into your technical expertise and problem-solving approach. Second Round of Interviews: A discussion reputed company on project fit, collaboration, and strategic alignment with GBL’s mission.