Pre-Doctoral Research Fellow

J-PAL, United States

Skill Required:, Research and Analysis
Preferred Experience: 
2 years of relevant work experience
Closing Date for Applications: 
21st October, 2019

Job Description

MIT Professor Amy Finkelstein is looking to hire a highly skilled and motivated full-time pre-doctoral research fellow to begin in the summer or fall of 2020 and to work for two years as part of her research team. The position will entail close collaboration and assistance with the design and analysis of randomized evaluations of interventions in US health care delivery. Examples of the types of projects pre-doctoral research fellows would work on include studying the effect of expanding public health insurance (, analyzing the impacts of healthcare hotspotting on super-utilizers, and studying the effect of Clinical Decision Support on physician scan ordering.

Responsibilities will include:

  • Data analysis: work with data sets; clean and run checks to spot errors; prepare data for analysis; prepare data for publication and publishing data; and communication with research partners about data requests and analysis.
  • General research: assist with literature reviews and questionnaire writing, new and renewal institutional review board applications, and the preparation of academic papers being submitted to journals.
  • Process-building and information sharing: Assist with onboarding new staff. Maintain project documentation and share best practices with other members of the research team.
  • Other duties as needed or required. This requires a high level of independent judgement.


The ideal candidate will have the following qualifications:

  • Education: Bachelor’s degree required. Background in economics a plus, but not necessary (Professor Finkelstein welcomes candidates with strong technical backgrounds who are looking for more exposure to economics); excellent grades required.
  • Experience: Two years of research or data analysis experience required. Relevant experience gained through internships, part-time work, research, or teaching assistantships applicable.
  • Skills: Strong quantitative background, strong computer skills including programming; ability to work independently, long-term interest in pursuing a PhD in economics.


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