Research Associate

This is a fully remote position, open to applicants in Colombia.

📋 Description

• Participate in the design, execution, and evaluation of experimental and quasi-experimental initiatives.

• Utilize advanced econometric modeling to address intricate issues in development economics and industrial organization.

• Make methodological enhancements to bolster the rigor of the research portfolio.

• Develop automated, reproducible workflows in R and STATA for data preparation, variable creation, and anomaly identification.

• Perform technical audits and diagnostic evaluations on extensive datasets.

• Create structured tracking systems and real-time dashboards using Excel to oversee fieldwork progression and survey quality.

• Produce technical outputs that empower implementation teams to make data-informed modifications during data collection.

• Convert complex statistical results into straightforward, actionable insights.

• Assist in the development of academic papers, policy briefs, and technical reports.

• Present findings to international stakeholders.

⛳️ Requirements

• Bachelor’s degree in Economics, Statistics, or a related quantitative discipline.

• Master’s degree in Economics (either in progress or completed) is highly preferred.

• Advanced skills in R and STATA are essential.

• Demonstrated experience managing large-scale longitudinal or administrative datasets.

• Proficiency in causal inference, econometric modeling, and impact evaluation.

• Experience in designing and analyzing RCTs and quasi-experimental studies.

• Background in Industrial Organization or Development Economics is advantageous, especially relating to labor markets and Colombian education/vocational systems.

• Familiarity with GEIH and other national information systems is a plus.

• Bilingual in English (C1) and Spanish.

• Capability to transform complex data into high-quality technical documentation and actionable reports.

• A proactive, independent researcher who can collaborate in multidisciplinary teams.

• Ability to manage intricate workflows within tight deadlines.

• Commitment to methodological integrity and ethical standards, including the responsible use of AI.

• Knowledge of Python and machine learning is a plus.

🏝️ Benefits

• Traditional monetary workplace benefits such as insurance and travel allowance.

• Collaborative, mission-driven culture.

• Hands-on experience with state-of-the-art tools and methodologies in applied economics, big data, and machine learning.

• Opportunity to collaborate with distinguished academics from Harvard, Michigan, and UC San Diego.

• Chance to contribute to impactful real-world projects and foster meaningful social change.

• Opportunities to experiment, assume dynamic roles, and grow within the organization.

• Emphasis on happiness, productivity, and quality of work.