Columbia Business School is seeking to hire a Staff Associate of research for the Decision, Risk, and Operations (DRO) 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 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.

Bachelor's degree in Economics or Finance or in a quantitative discipline such as Mathematics, Statistics, Engineering, Computer Science, Data Science, etc.

? At least 6 months of experience in a research role or as a research assistant.

? Programming experience in STATA is required. Strong preference for those who also know Python or R.

? Additional programming experience in one or more of the following languages: SQL, SAS, Matlab, and/or C is preferred.

? Familiarity with statistical tooks such as linear regression is required.

? Demonstrated exceptional written and oral communications skills needed - a writing sample is required.

? Expertise in processing large volumes of data and algorithm design expertise.

? Experience in market design applications preferred.

? Familiarity with text parsing and analysis (natural language processing) and/or machine learning techniques is preferred.

? Candidate must be able to work on multiple projects simultaneously.

Applicants should submit:

• CV
• Cover letter
• Transcripts
• Writing sample
• Three letters of reference

For further information about the position, please visit Digital Future Initiative at Columbia Business School

For additional questions, please contact dfi@gsb.columbia.edu

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.

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.

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