Support Us

Software Engineering Intern, Social Science Prediction Platform

Note: This is a position with a CEGA affiliate, not a CEGA position

Project Description:

The Social Science Prediction Platform (SSPP) allows for the systematic collection and assessment of expert forecasts of the effects of untested social programs. This should help both policymakers and social scientists by improving the accuracy of forecasts, allowing for more effective decision-making, and improving experimental design and analysis.

Position Details


Software Engineering Intern


Remote (with the possibility of in-person collaboration depending on circumstances)


3 months, with the potential for extension

Role Description

As a Software Engineering Intern at SSPP, you will work with a Lead Software Engineer and a team of Economics Professors, Post-Grads, and Undergrads. You will debug and fix bugs, and work on features through all the phases of: Design Doc → Unit Tests → Code → Code Review → Release Management. The SSPP platform is built with PostgreSQL and Django, and runs in Docker and on Heroku.

Required Qualifications

  • Currently pursuing a degree in Computer Science, Engineering, or a related field.
  • Proficiency in Python.
  • Experience collaborating remotely (e.g. work or school).
  • Eligible to work in the United States; we are not able to sponsor visas.

Preferred Qualifications

  • Familiarity with Django.
  • Familiarity with basic web development (HTML, CSS, basic Javascript).


  • Hourly pay at market rates.
  • Hands-on experience / learning to work through the full software development process.
  • Flexible work hours.
  • Potential for future employment based on mutual needs.

How To Apply

Please apply by sending your resume and GitHub profile / links to relevant code examples to


Applications will be reviewed on a rolling basis.

Share Now

Copyright 2024. All Rights Reserved

Design & Dev by Wonderland Collective