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FILLED LDI Replication Lab / AEA Data Editor pre-doc position available

This position has been filled.

The Labor Dynamics Institute at Cornell University is looking to hire a Research Aide & Replication Lab Supervisor to work with Dr. Lars Vilhuber in his capacity as Data Editor for the American Economic Association.

The Data Editor and his team review about 500 top economics papers, conditionally accepted at the 8 AEA journals, for data provenance, documentation, and computational reproducibility. The team also assists authors in depositing data, including sensitive and confidential data; explore cutting edge computing techniques that will facilitate computational social science research, and interact with hundreds of researchers from around the world every year. For more information, see

The position provides an excellent opportunity to review research at the forefront of the Economics discipline. Additionally, the Research Aide will have the opportunity to engage with Cornell faculty, attend departmental seminars, and take courses.

The preferred start date is July 1st, 2022 (some flexibility). Annual compensation is ~$35,000 (with benefits) for 30 hours/wk. Additional hours can be added by participating in other research projects on campus, or the time can be used to take classes. We prefer to have the successful candidate relocate to Ithaca, NY to work and take classes at the Cornell University campus, but offer the flexibility of working remotely within the US for periods of time.

This is a term position, renewable with approval based on available funding and work. The role involves close collaboration with the Data Editor to supervise student workers, work independently on replication projects, and serve as a team leader to a team of student replication researchers. Responsibilities include research, writing and analysis; independent academic replication; project planning and coordination.

The ideal candidate will possess the following skills and experience:

  • Bachelor's degree in Economics or another related field.
  • Previous research experience.
  • Knowledge of empirical social science data analysis using statistical software (at least one, preferably two out of Stata, R, Matlab; Python or Julia are an asset).
  • Experience with Git and the command line (Linux, Mac, or Powershell).
  • Experience debugging computer code commonly used in social science research.
  • Demonstrated capability with preparation of well-written, concise, error-free reporting skills. 

Applicant must have permission to work in the US. Please note that we cannot directly sponsor visas for this position.

Cornell University embraces diversity and seeks candidates who will contribute to a climate that supports students, faculty and staff of all identities and backgrounds. We strongly encourage individuals from underrepresented and/or marginalized identities to apply.