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Posted: 24-Sep-24
Location: New York, New York
Type: Full-time
Salary: $62,400
Categories:
Function:
Level:
Position:
Columbia Business School is seeking to hire a Staff Associate of research for the Management Division.
The work will include quantitative and qualitative research and analysis, collection, coordination and management of information and data, development of research materials (figures, presentations, papers, etc.), and work on special projects relating to pertinent fields of research within the division.
This position provides an opportunity to gain experience in academic business research, with a special focus on fields such as management, statistics, and economics; and would be ideal preparation for a Ph.D. program or other graduate study.
All duties involve work in one or more of the following areas of research: accounting, finance, 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 models and implement program code (STATA, Python, SQL, R, SAS, Matlab, etc.).
- Perform statistical analysis, 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 Python.
- 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, Engineering.
Supplemental information about what makes a great candidate