Columbia Business School is seeking to hire one or more Staff Associates of research for the DRO (Decision, Risk, and Operations) Division. The work will include quantitative and qualitative research and analysis involving the collection, coordination, and management of information and data, development and implementation of computer models and simulations, 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 operations research, operations management, statistics, and economics; and it would be ideal preparation for a PhD program or other graduate study.
The Research 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 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 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.
Internal Number: 7349
About Columbia University
Columbia University is one of the world's most important centers of research and at the same time a distinctive and distinguished learning environment for undergraduates and graduate students in many scholarly and professional fields. The University recognizes the importance of its location in New York City and seeks to link its research and teaching to the vast resources of a great metropolis. It seeks to attract a diverse and international faculty and student body, to support research and teaching on global issues, and to create academic relationships with many countries and regions. It expects all areas of the university to advance knowledge and learning at the highest level and to convey the products of its efforts to the world.