Economics Research Specialist: Market Shaping Solutions to Global Challenges

The Department of Economics at Dartmouth College invites applications for an Economics Research Specialist, at the rank of Post Graduate Research Associate. The ERS will join the Market Shaping Accelerator (MSA) - founded by Professor Rachel Glennerster of the University of Chicago and the Center for Global Development, Economics Nobel Laureate Michael Kremer, and Professor Christopher Snyder of Dartmouth and housed at the Center for Global Development in Washington, DC. The ERS will work with the MSA team to support the development and adoption of high-impact market-shaping proposals designed to incentivize innovations addressing climate change, pandemic threats, global health challenges, and other pressing global problems.

Responsibilities include, but are not limited to, the following:

* Economic appraisal and quantitative modeling of market-shaping proposals (40%)

Benefit-cost analysis and cost-effectiveness analysis

Estimating the potential benefits of innovation, size of potential markets and cost of market shaping incentives.

Microeconomic modeling and related quantitative analysis

Modeling and data analysis in Stata, R, Python, and/or MATLAB

* Policy and sector analysis related to climate change, global health, and pandemic preparedness (25%) and other global challenges

Writing and revising drafts for policymakers and economists

Analysis of opportunities in specific sectors. This includes analysis of market dynamics, market structure, regulatory environment and implementation challenges.

* Desk research to identify promising candidate problems for market-shaping interventions (25%)

* Communication and coordination with relevant stakeholders (10%)

This position offers excellent preparation for graduate study or a future policy career. Economics Research Specialists engage with leading scholars and policymakers and contribute directly to the design of market shaping proposals. We expect our ERS to support key workstreams and advance our policy work, not simply conduct isolated analysis.

This position is full-time, with residence in Washington, DC. and a start date as early as June 2027. Appointments are typically for a 1-year period.

Some domestic and possibly international travel may be required.

Dartmouth is committed to academic excellence and encourages the open exchange of ideas within a culture of mutual respect. Dartmouth welcomes people with different backgrounds, life experiences, and perspectives and believes that diversity in all its forms enhances academic excellence. Applicants should address in their application letter how their research, teaching, service, and/or life experiences prepare them to serve Dartmouth's commitment to academic excellence in an environment that is welcoming to all.

• Bachelor's degree in economics or a related field including coursework in intermediate microeconomics and multivariable calculus or equivalent.
• Strong quantitative skills and experience with empirical research methods and/or microeconomic modeling
• Programming experience in at least one relevant language, such as Stata, R, Python, or MATLAB
• Excellent analytical and critical-thinking skills
• Strong written and oral communication skills
• Ability to manage multiple projects and stay organized in a fast-moving research environment

Preferred Qualifications

• Advanced quantitative preparation beyond the minimum requirements. This could include, for example, linear algebra, probability, statistics and econometrics, real analysis, ordinary differential equations, advanced microeconomics etc.
• Demonstrated interest in climate change, pandemic preparedness, global health, or related policy areas

This position is eligible for J-1 visa sponsorship for eligible candidates. Employment is contingent on authorization to work in the United States.

Please submit the following electronically via Interfolio:

1. Application letter that addresses:

Relevant research-related experience

Any teaching or mentoring experience

Educational and career goals and how the position would advance them

2. CV/Resume

Name

Email and phone/text contact

Mailing Address

Current position, or academic affiliation

Date of expected undergraduate degree

Academic concentration(s)

List all academic classes (and final grades) you have completed that focus primarily on

3. Writing sample (ideally an independently written quantitative paper)

4. Transcripts

5. Contact information for three professional references

Review of applications will begin October 15, 2026, and will continue until the position is filled. Recommendation letters will be requested only for finalists. For questions about the position, please contact Connie Prior at Connie.Prior@dartmouth.edu.