Quantitative Research Assistant, Climate & Global Health Policy

Center for Global Development; Washington (District of Columbia); Hybrid; USD 54,340 - 58,000; Full time

Benefits offered by this job

Paid time off

Health benefits

Dental and vision benefits

Retirement contributions

Commuter benefits

Job summary

Center for Global Development in Washington, DC seeks a Research Assistant for the Market Shaping Accelerator. The role focuses on econometric analysis and market assessment to support innovative development interventions, with duties spanning modeling and policy analysis.

The candidate will work on cost-benefit evaluations, data analysis in Stata/R/Python, and collaboration with Dartmouth and UChicago scholars. Hybrid work is available in the DC area, with a focus on growth and impact.

Qualifications

• Bachelor’s degree in Economics or related field.
• Strong quantitative skills and experience with empirical research methods or microeconomic modeling.
• Programming experience in Stata, R, Python, or MATLAB.
• Excellent analytical and critical-thinking skills.
• Strong oral and written communication skills.
• Ability to stay organized on multiple projects simultaneously.

Responsibilities

• Economic appraisal and quantitative modeling of market shaping proposals.
• Policy analysis related to climate change, global health, and pandemic preparedness.
• Communication and coordination with relevant stakeholders.
• Identifying promising candidate problems to tackle with market shaping instruments through desk research.

Skills

Quantitative skills

Empirical methods

Microeconomic modeling

Analytical thinking

Oral and written communication

Organization

Education

Bachelor’s degree in Economics or related field

Tools

Stata

R

Python

MATLAB

Job description

Center for Global Development in Washington, DC seeks a Research Assistant for the Market Shaping Accelerator. The role focuses on econometric analysis and market assessment to support innovative development interventions, with duties spanning modeling and policy analysis.

The candidate will work on cost-benefit evaluations, data analysis in Stata/R/Python, and collaboration with Dartmouth and UChicago scholars. Hybrid work is available in the DC area, with a focus on growth and impact.