Working at MIT offers opportunities, an environment, a culture – and benefits – that just aren’t found together anywhere else. If you’re curious, motivated, want to be part of a unique community, and help shape the future – then take a look at this opportunity.

RESEARCH, EDUCATION, AND TRAINING ASSOCIATE, Abdul Latif Jameel Poverty Action Lab (J-PAL)-Global-Research, Education, and Training (RET) Group, to develop new tools for J-PAL research projects, e.g., code, packages, programs, etc.  Will think systematically about RCT data, its properties, and how it’s used by surveying users and reading research papers; assist in creating resources/teaching materials/software tools to develop internal staff capacity and plan, organize, and deliver training courses to cultivate a network of like-minded external stakeholders; document and prepare research datasets for publication and build tools that streamline and facilitate these tasks for research partners; research and design teaching modules and prepare presentations, case studies, and manuals on randomized evaluation methods; assist in planning, organizing, and conducting in-person courses/workshops; conduct data analysis for user surveys and A/B experiments that test the relative effectiveness of different pedagogies for J-PAL’s online courses; serve as a TA for advanced courses; and maintain tracking, monitoring, and evaluation systems for training programs, research publications, and online courses. 

Job Requirements
REQUIRED:  bachelor’s degree (master’s preferred) in economics, political science, education, public policy, international development, or related field; training in and strong technical understanding of randomized impact evaluations; two years’ work experience (may include experience gained as an undergraduate); experience in quantitative data analysis, economics, or related discipline; interest in poverty alleviation policy/research as demonstrated by coursework and/or study or work abroad; knowledge of data management, data analysis, and econometrics; solid command of (or willingness to learn) Stata or knowledge of R or other analytics programs; and MS Office proficiency (PowerPoint, Excel). PREFERRED: experience cleaning and analyzing large, complex datasets; LaTeX knowledge; exposure to MATLAB, Python, or Julia; and experience conducting field research in developing countries.  Job #18510

MIT is an equal employment opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, sex, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, ancestry, or national or ethnic origin.

MIT considers equivalent combinations of experience and education for certain jobs. All candidates who believe they possess equivalent experience and education are encouraged to apply.