Skip Navigation
External Candidates

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
  • Job Number: 22964
  • 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, 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 support research on Blueprint Labs’ workforce, healthcare, and education initiatives, working closely with one or more of the Blueprint Labs’ directors or co-directors, including Josh Angrist, Parag Pathak, Nikhil Agarwal, and David Autor and 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 discussion in project meetings; and editing papers and other materials for publication and diverse audiences. 

The full job description may be reviewed here.  

Job Requirements

REQUIRED:  a bachelor’s degree in economics, computer science, mathematics, statistics, or a related field; at least two years of specialized experience in quantitative data analysis, research methods, and/or social sciences research (which may include experience gained as an undergraduate); programming experience, particularly around data analysis, cleaning, and simulations; self-motivation; strong organizational skills; ability to work independently.  Job #22964

Application material MUST be submitted both via MIT’s hiring site and by completing an application at this link. 

This is 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. This position will begin as soon as possible.

7/18/23