The Wang Lab at the Princeton Neuroscience Institute is looking for a well-qualified statistical research specialist/analyst to analyze elections and redistricting. The successful applicant will analyze voting patterns to apply new statistical standards for partisan gerrymandering. These standards (see gerrymander.princeton.edu) are designed to be consistent with existing Supreme Court precedent, and avoid statutory and Constitutional impediments. Progress on this project will drive practical impacts and original publications.
The term of appointment is one year, renewable for a second year based on performance and funding.
Duties and Responsibilities
- Apply the statistical analysis to Congress and state legislatures, 1900-now, to identify which states and parties benefited, and to compare this with patterns of legislative control;
- Compare the results with map-based methods and other newer standards; and
- Assist in the preparation of reports, in-depth analysis, and possible peer-reviewed publications.
- Learn to use Maptitude for Redistricting
This position requires a bachelor’s degree in computer science, math, statistics, or physics with 2+ years’ experience. More experienced applicants are also welcome. The ideal candidate will have e some experience with MATLAB and Python, and be able to communicate clearly and accurately with non-statistician audiences.
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