CID research fellows work closely with faculty on specific research projects. Professor Rema Hanna’s current research topics include social protection, improving labor markets, increasing the efficiency of tax collection, and the intersection of urban mobility and climate change, with research settings in Indonesia, India, Morrocco, and other countries around the world. Our research methods focus on randomized evaluations and rigorous quasi-experimental designs, sometimes bringing in cutting-edge optimization methods from computer science and related fields to boost the potential impact of the solutions we test. We also work to synthesize the global body of evidence on the topics we study and close gaps between researchers and policymakers. Example projects include randomized experiments on expanding insurance coverage for informal workers in Indonesia; improving urban mobility through model-generated bus allocations, fare pricing, and private vehicle charges; outsourcing property tax assessments in India; and, in Morocco, public employment services, worker preferences for formal versus informal jobs, and coding education. These diverse projects are bound by the common threads of rigorous methods and high potential for real-world impact, and new projects form all the time as we work closely with policymakers to understand pressing issues and to develop and test solutions.
Fellows come from diverse backgrounds and bring highly valued technical skillsets and cultural perspectives to our research teams. Fellows receive mentoring from faculty, work with cutting-edge topics and research methods, and participate in a broad range of activities at Harvard. They are welcomed as members of the Harvard community and receive salary, benefits, and access to an array of university resources. Fellows are among the best and the brightest of future researchers and practitioners in Economics, Public Policy, and related fields, and many go on to top PhD programs or pursue careers outside of academia, supporting and implementing evidence-based policy from a variety of organizations.
This specific fellowship will be under the direction of Professor Rema Hanna and focus on projects in Indonesia, India, and Morocco, with opportunities to interface with other researchers and support additional projects. We are seeking a full-time research fellow for one year, with the strong possibility of second-year renewal, starting in March-August 2027. The position will be based in Cambridge, MA, with the possibility of hybrid in-office/remote scheduling in accordance with university flexwork policies.
Responsibilities
Clean and manage large datasets
Conduct statistical analyses in Stata
Develop survey instruments and data request documents for data collection
Create technical documentation for internal and external audiences
Conduct background research and literature reviews
Draft content for reports to policymakers, academic papers, grant proposals, research compliance protocols, and other project documents
Coordinate with a variety of research team members at CID and partner organizations, including those based internationally
Travel to project locations as needed
Required
Bachelor’s or Master’s degree in Economics, Public Policy, International Development, or related field requiring substantial coursework in math and economics
Demonstrated academic excellence
Proficiency in Stata, working with large, complex datasets
Thorough understanding of randomized control trials and econometric methods
Strong English oral and written communication skills
Excellent command of Microsoft Office suite (Microsoft Word, Excel, and PowerPoint)
Strong motivation, self-direction, and organizational skills
Enthusiasm for collaborating with a diverse team, including international colleagues
Willingness to travel internationally
Preferred
Master’s degree with graduate-level coursework in Economics and Econometrics
Proficiency in R, Python, and/or Julia
Experience with survey design and implementation using Qualtrics
Experience using GitHub
Experience with remote computing servers
Experience with the responsible use of generative AI tools
Relevant research experience, including complex data processing and causal effects estimation
Familiarity with or interest in the academic literature on social protections, active labor market programs, financial inclusion, taxation, urban mobility, and related topics in development
Language skills in French, Arabic, or Indonesian are a plus, but certainly not required
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