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Columbia University Staff Associate (Management) in New York, New York

Posting Details

Job Requisition Number 00002299

Field(s) of Specialization Management

Position Title Staff Associate (Management)

Department BUS Business

Division Business School

Location Morningside

Summary Description

Columbia Business School’s Management Division is seeking to hire a Staff Associate RA1 to support the work of Professor Adam Galinsky, and other colleagues within the Management Division. The work will include quantitative and qualitative research in management and social psychology, and analysis projects from conception through publication, collection, coordination and management of information and data, development of research materials, and work on special projects relating to the research areas of interest to Adam Galinsky and the Management Division. The incumbent will gain experience in academic business research with a special focus on leadership, power, negotiations, decision-making, diversity, and ethics.

All duties involve work in one or more of the following areas of research: accounting, finance, economics, and statistics.

  • Collect, manage, and manipulate data using a variety of tools and sources, including but not limited to Stata and R.

  • Produce summary statistics and conduct basic statistical analyses

  • Writing scripts in python to automate processes and for webscraping

  • Assist with data analysis and dissemination of findings through the preparation of reports, journal articles, presentations, web sites, and other research outlets.

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

  • Bachelor’s degree in Engineering, Computer Science, Data or Information Science, or in a quantitative discipline such as Mathematics, Statistics, or Economics with coursework in computer science.

  • Experience with Stata and familiarity with statistical analyses

  • Ability to work independently and manage all timelines and deliverables. Since the RA will be working with multiple faculty members/projects, the ideal * candidate will be self-motivated and be able to structure assignments and keep faculty member informed as necessary

  • Strong written and verbal English skills are essential

  • Evidence of outstanding academic achievement, along with prior high-quality academic writing. Ability to read academic, subject-specific information and write a reasoned and thoughtful analysis, as well as produce a creative interpretation, is a plus. A writing sample is required.

  • The ideal candidate will have extremely high standards in terms of quality of work, attention to detail, strong organizational skills, and absolute commitment to task completion. He or she must be able to balance multiple tasks and shifting priorities under tight deadlines at an accelerated pace when necessary.

    Minimum Degree Required

Bachelor’s degree in Engineering, Computer Science, Data or Information Science, or in a quantitative discipline such as Mathematics, Statistics, or Economics with coursework in computer science.

Minimum Qualifications

Up to two years of experience in a research role as a research assistant during the academic year or a summer internship in a research lab or governmental institution.

Preferred Qualifications

Additional Information

RAPS posting date 03/18/2021

Search Closing Date

Special Instructions to the Applicant

Thank you for your interest in the Staff Associate position in the Management Division at Columbia Business School. Our search committee will evaluate all applications over the next few weeks and contact only those applicants selected for interviews.

Proposed Start Date 07/01/2021

EEO Statement

Columbia University is an Equal Opportunity Employer / Disability / Veteran

Review Begins 03/22/2021

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Supplemental Questions

Required fields are indicated with an asterisk (*).

Documents Needed to Apply

Required Documents

  • Curriculum Vitae

  • Cover Letter

  • Writing Sample/Publication 1

    Optional Documents

  • Writing Sample/Publication 2

  • Other Document 1

  • Other Document 2