Computational Research Analyst

Responsibilities

• 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.
• Coincide with collaborators in several states.

Qualifications

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

Benefits

The University offers a comprehensive benefit program to eligible employees.

Pay

$76,000 to $86,000

Schedule

Standard Weekly Hours: 36.25

Application Instructions

Please see the link for more information about the University's benefits.