Research Assistant
Company Description
By working at Harvard University, you join a vibrant community that advances Harvard's world-changing mission in meaningful ways, inspires innovation and collaboration, and builds skills and expertise. We are dedicated to creating a diverse and welcoming environment where everyone can thrive.
Why join the Harvard Kennedy School?
The John F. Kennedy School of Government at Harvard University is one of 12 graduate and professional schools at the university. Harvard Kennedy School’s mission is to improve public policy and leadership so people can live in societies that are more safe, free, just, and sustainably prosperous.
Job Description
The mission of the Taubman Center for State and Local Government at the Harvard Kennedy School is to support current and future public sector leaders in improving the governance of states, counties, and cities.
Job Summary:
The Research Assistant will work directly with Professor Liebman on a variety of projects related to social policy, economic policy, and government performance. Specific topics may include early education, alternative 911 response, homelessness, social security reform, health care, budget policy, and government innovation.
The ideal candidate will have strong programming and quantitative skills, and a long-term interest in pursuing research in economics or public policy.
Job-Specific Responsibilities:
- Analyze, manage, clean, and create datasets
- Conduct statistical analyses using languages such as Stata, R, and Python
- Review literature and summarize findings
- Maintain documentation of datasets and analyses
- Help prepare manuscripts for publication and slides for conference presentations
- Help prepare teaching materials
Working Conditions:
This is an in-person position, and the Research Assistant needs to be available to work on campus 5 days a week. Some weeks, 1-2 days of remote work may be possible.
Qualifications
Basic Qualifications:
- College background in economics and statistics
- Strong programming skills evidenced by experience with statistical and programming languages such as Stata, R and/or Python
Additional Qualifications and Skills:
- Outstanding achievement in coursework involving advanced quantitative analysis and economic concepts
- Ability to learn new statistical programming languages quickly
- Experience with statistical and programming languages such as STATA, R, and/or Python
- Excellent writing, research, and organizational skills
- Ability to work independently, including on multiple projects at the same time
- Prior research experience from undergraduate thesis research, previous positions, internships, or practicums and/or college coursework is a plus
- Understanding of causal inference methods – randomized controlled trials, difference-in-differences, regression discontinuity, and related approaches is a plus
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