Job Description

Columbia Business School is seeking to hire one or more Staff Associates for the Economics Division. The work will include quantitative and qualitative research and analysis involving the collection, coordination, and management of data and other research materials. This position provides an opportunity to gain experience in academic economics research and would be ideal preparation for a Ph.D. program in economics, finance, or related fields. This is a one-year position with a possible extension to a second year.

The Staff Associate duties involve work in one or more of the following areas of research: economics, and statistics. Specific duties include:

• Collect, clean, and maintain datasets and databases. Extract and link data from multiple databases for analysis. Prepare detailed documentation.
• Develop economics and statistical models and implement program codes in common statistical and mathematical programming languages (e.g., Stata, Python, MATLAB, SQL, R, SAS).
• Perform statistical analyses, including regression analysis and machine learning techniques.
• Assist with data analysis and dissemination of findings through the preparation of reports, journal articles, presentations, websites, and other research outlets.
• Perform case-based research, including work with detailed primary documents.

Applicants for the Staff Associate position are expected to have the following:

• Programming experience in Stata is required. Strong preference for those who also know either Python or MATLAB.
• Additional programming experience in one or more of the following languages: R, SQL, SAS, MATLAB, and/or C++ is preferred.
• Familiarity with statistical tools such as linear regression is required.
• Demonstrated exceptional written and oral communications skills needed - a writing sample is required.

Bachelor's degree in Economics or Finance or in a quantitative discipline such as Mathematics, Statistics, or Engineering with coursework in Economics and Finance.

Columbia University is an Equal Opportunity Employer / Disability / Veteran

Pay Transparency Disclosure

The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

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