Job Details  

Research Assistant I
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Job ID 73400
Job Funding Source Non-Work-Study
Employer Information, School of
Category Professional/Administrative
Job Description

How to Apply:

A resume and unofficial transcript are required for consideration for this position and should be attached to your email with the subject heading Replication Analysis RA Application. Please submit these documents to Qingyi Wang (wqingyi@umich.edu) by May 11. We will schedule a short in-person session with qualified candidates, and the decision regarding your application will be communicated to you by email shortly afterwards.

 

Job Summary:

The University of Michigan School of Information is looking for research assistants to support doctoral students Qingyi Wang and Jingyi Qiu in conducting replication analysis for ongoing projects. Responsibilities include verifying computational reproducibility, identifying coding errors, and creating structured replication packages. You have programming skills in Stata or Python, knowledge of statistical analysis methods, and an interest in social science research. 
Educational Value

Educational Value:

You will gain hands-on experience applying statistical tools and knowledge to conduct empirical research in economics. By engaging with real-world data and replication tasks, you will deepen your understanding of the components of a complete academic research project and build a foundation for future academic pursuits.
Job Requirements

Responsibilities:

  • Run provided scripts to verify computational reproducibility and compare outputs with the original results.

  • Detect and address coding errors or data irregularities.

  • Communicate findings and issues with the research team.

  • Create and organize a well-structured and accessible replication package for future researchers.

Required Qualifications:

  • Currently enrolled in an undergraduate or master's degree program.

  • Proficient in using Stata or Python: have applied the tools in at least two projects or completed a full-semester course that taught the tool.  

  • Knowledge of statistical analysis methods: have taken at least an introductory statistics class, such as STATS 250 or equivalent.

  • Commitment to seeing tasks through to completion, even when faced with challenges or obstacles.

  • Have demonstrated interest in economics, psychology, or other quantitative social science academic research.
Hourly Rate $18.00/hour
Hours 10.0 to 12.0 hours per week
Time Frame Spring/Summer
Start Date Saturday, June 21, 2025
End Date At completion of project
Primary Contact Lorainna Hubbard
Primary Contact's Email N/A
Supervisor Qingyi Wang
Work Location The University of Michigan, School of Information is located at the Leinweber Computer Science and Information Building. Leinweber, 2200 Hayward St.
Phone N/A
Fax N/A