Your responsibilities may include:
• Coordinating the DEDP master s program admission process, seminar, and capstone internship placements;
• Supporting the development of relationships with key partners in governments, NGOs, foundations, multilateral aid agencies, and universities worldwide for capacity building;
• Supporting J-PAL s online course portfolio, including MIT s MicroMasters program, by serving as a Teaching Assistant for advanced courses, assisting students with data analysis assignments, coordinating with others at MIT to successfully run each course, and conducting data analysis for user surveys and A/B experiments that test the relative effectiveness of different pedagogies for J-PAL s online courses;
• Developing new tools for J-PAL research projects (including written resources, software code, packages, programs, etc.) that increase the efficiency of research staff;
• Researching and designing new teaching modules and preparing presentations, case studies, and manuals to train researchers, research staff, and policymakers on randomized evaluation methods;
• Assisting in planning, organizing, and conducting in-person courses and workshops;
• Maintaining our tracking, monitoring, and evaluation systems for J-PAL training programs, research publications, and online courses, and reporting frequently to the RET group as well as J-PAL management;
• Other assignments as needed as the position grows.
Skills and qualifications
• Education: A Bachelor s degree in economics, political science, education, public policy, international development, or other related fields required. Master s degree preferred. Significant training in and a strong technical understanding of randomized evaluations is required.
• Experience: At least 2 years of work experience is required (which may include experience gained as an undergraduate), including in quantitative data analysis and economics or a related discipline. The ideal candidate will have experience with data cleaning and analysis of complex data sets. Experience conducting field research in developing countries with a background in randomized evaluations is a plus, but not necessary.
• Interest in Development and Policy: Interest in poverty alleviation policy and research, as demonstrated by coursework and/or study or work abroad.
• Quantitative skills: Knowledge of data management, data analysis, and econometrics is required.
• Software: Must have a good command of Stata or have knowledge of R or other analytics programs plus the ability and willingness to quickly learn Stata. Office applications (Powerpoint, Excel) are required. LaTeX knowledge or exposure to Matlab, Python, or Julia are a plus.
• Cultural competencies: You are comfortable and adept at working in a diverse and multicultural work environment, with colleagues, partners and policymakers from around the world. You display cultural, gender, religion, race, nationality, and age sensitivity and adaptability.