• Perform original computationally intensive research on ranked-choice voting and other proposed changes to U.S. electoral institutions.
• Maintain and expand a high-quality database of computationally driven analysis of redistricting plans for all 50 states combining census data, precinct-level results, and other information using Python (including numpy) and GIS software.
• Publish codebooks and datasets to allow public access to analysis, and to drive legal and academic scholarship.
• Coordinate with collaborators in several states.

Essential Qualifications:

• This position requires a Bachelor’s degree in Computer Science, Statistics, or related quantitative discipline and 1+ years of experience.
• Strong quantitative and programming background (Python, QGIS)
• A willingness to learn GIS software and other programs or tools necessary for the project
• Experience gathering and combining data from many disparate sources
• An interest in law, government, or democratic reform
• Ability to balance and work on several projects simultaneously and successfully
• Strong orientation toward teamwork and collaborative research

• Background in high-performance computing (C, C++, or a comparable language) is a plus.
• Excellent writing and verbal presentation skills are also highly desired.