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Working at MIT offers opportunities that just aren’t found anywhere else, including generous and unique benefits that help to ensure that MIT employees are healthy, supported, and enjoy a fulfilling work/life balance. Discover more about what it's like to work at MIT.

We welcome people from all walks of life to bring their talent, ideas, and experience to our community. We value diversity and strongly encourage applications from individuals from all identities and backgrounds – like yours. If you want to be part of our exceptional, multicultural, collaborative, and inclusive community, then take a look at this opportunity.

Research Fellow, Blueprint Labs
  • Job Number: 23819
  • Functional Area: Research - Scientific
  • Department: Economics
  • School Area: Humanities, Arts, & Social Sciences
  • Employment Type: Full-Time Temporary
  • Employment Category: Exempt
  • Visa Sponsorship Available: No
  • Schedule:


Job Description

RESEARCH FELLOW, Economics-Blueprint Labs (2 openings), to join a growing team of professionals devoted to using data, economics, and analytic tools to generate insights to uncover the consequences of policy choices and improve society. Will work closely with one or more of the Blueprint Labs directors or co-directors, including Josh AngristParag Pathak, and David Autor, plus collaborators at other universities.  Specific responsibilities include constructing and preparing data for analysis; conducting analysis in Stata, Python, and/or R (or similar); presenting results and engaging in discussions in project meetings; and editing papers and other materials for publication and diverse audiences. 

A full job description is available here.  

Job Requirements

REQUIRED: bachelor’s degree in economics, computer science, mathematics, statistics, or a related field; at least two years of specialized experience with quantitative data analysis, research methods, and/or social sciences research (which may include coursework or experience gained as an undergraduate); experience with programming, particularly around data analysis, cleaning, and simulations; strong organizational skills; and self-motivation and ability to work independently.  Job #23819

Applications must be submitted via MIT’s hiring site AND at this link.

Will receive a full-time, one-year appointment that is renewable annually (contingent on funding) and is not eligible for visa sponsorship.  An employment term of two years is strongly preferred.  The position will begin as soon as possible.

Employment is contingent upon the completion of a satisfactory background check.