Job Description

Job Summary:

The Global Poverty Research Lab (GPRL) at Northwestern University is seeking a highly motivated Pre-doctoral Research Analyst to join our team. This position offers the unique opportunity to work on cutting-edge research examining labor markets, market power, and social protection in developing countries, under the guidance of Professor Sharma and other collaborators.

The successful candidate will have a passion for empirical research, particularly in handling and analyzing large datasets. Must have strong coding skills and the ability to tackle complex challenges independently and technical proficiency in data analysis. Pre-Doctoral Research Analysts are fully integrated into a dynamic research community at both the lab and the Economics Department at Northwestern University. Previous research assistants from our lab have successfully been admitted to top Ph.D. programs in economics, including at institutions such as Harvard, UC Berkeley, and the University of Chicago.

This is a full-time position and works a hybrid schedule, with some onsite work and some remote work.  More information will be discussed during the interview.

The target hiring range for this position will be between $56,782 - $57,500 per year.  Offered salary will be determined by the applicant’s education, experience, knowledge, skills and abilities, as well as internal equity and alignment with market data.

Specific Responsibilities:

Collecting and analyzing large administrative datasets.
Designing and implementing surveys and randomized controlled trials.
Conducting background research and literature reviews.
Opportunities for fieldwork in India may arise.
Engaging in projects that blend theory with data, with a strong focus on empirical analysis.
Research Focus Areas:

Gender gaps in labor markets, such as the impact of maternity leave policies on women’s careers.
The nature and drivers of informality in the labor market.
Understanding unemployment dynamics in developing countries.
The effects of AI on labor markets in the developing world.
Miscellaneous

Performs other duties as assigned.

Minimum Qualifications:

Successful completion of a full 4-year course of study in an accredited college or university leading to a bachelor's or higher degree; OR appropriate combination of education and experience.

Strong quantitative background.

Significant programming experience.

Minimum Competencies: (Skills, knowledge, and abilities.)

Excellent attention to detail.

Strong problem-solving skills and the ability to work independently.

Preferred Qualifications:

Strong quantitative background with significant programming experience.

Proficiency in Stata.

Experience with Python, R, or web scraping is a plus.