As the entire United States redraws every state and congressional district over the next two years, the Princeton Gerrymandering Project (PGP) aims to support fair and transparent redistricting during this critical juncture in American democracy. We have pioneered new methods for data collection and map analysis, and are helping to advance legal arguments and redistricting legislation to help reformers in all 50 states. As part of these efforts, the Princeton Gerrymandering Project is recruiting a Computational Research Analyst.
The Computational Research Analyst will work to develop OpenPrecincts, a comprehensive, legislative-quality database of voting precincts across the U.S.; will provide technical analysis to state-level partner organizations; and will participate in outreach to civic organizations to support their use of PGP data within their reform efforts. This position is suitable for someone who is between college and graduate school. More experienced applicants are also welcome.
This is a one-year term position with the probability of extension contingent upon performance and continued funding.
This position requires a bachelor’s degree in computer science, statistics, or physics with 2+ years of experience. More experienced applicants are also welcome.
Essential Qualifications include:
Preferred Qualifications include:
This position is subject to the University's background check policy.
Princeton University is an Equal Opportunity/Affirmative Action Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law. EEO IS THE LAW.