Q: What are the essential qualifications for the Computational Research Analyst role?

The position requires a Bachelor’s degree in Computer Science , Statistics , or a related quantitative discipline, plus 1+ years of experience. Key skills include Python (including numpy), QGIS , GIS software , and experience gathering data from disparate sources. An interest in law , government , or democratic reform is essential, along with strong teamwork and multitasking abilities. Preferred: high-performance computing (C/C++) and excellent writing skills. Explore research jobs at Princeton for similar roles.

Q: What are the main responsibilities of this Computational Research Analyst position?

Responsibilities include performing original computationally intensive research on ranked-choice voting and U.S. electoral changes; maintaining a database of redistricting plans for all 50 states using Python , numpy , and GIS ; publishing codebooks and datasets publicly; and coordinating with collaborators. Work supports peer-reviewed scholarship and public tools like the Princeton Gerrymandering Project . See research role tips .

Q: What is the salary and employment details for this role at Princeton University?

The salary range is $76,000 to $86,000 . This is a full-time position with 36.25 weekly hours , no overtime eligibility, and benefits . The initial term is 1 year , renewable based on performance and funding, with a 180-day probationary period . Princeton is an Ivy League Equal Opportunity Employer .

Q: How do I apply for the Computational Research Analyst position?

Apply via the Princeton University requisition #2026-21709 before the expiration date of June 14, 2026. Submit your resume highlighting Python , QGIS , and quantitative experience. Tailor your application to redistricting and voting rules research. Use our free resume template and cover letter template for academic jobs.

Q: What research areas will this role focus on at Princeton?

Focus on aggregated decision-making , electoral mechanisms including redistricting , Electoral College , and ranked-choice voting . Develop computational simulations , geospatial analysis , and public databases using census and precinct data. Outputs include peer-reviewed publications and accessible tools for legal/academic use. Ideal for those interested in research assistant jobs in democratic reform .

Q: Is prior GIS or high-performance computing experience required?

A strong quantitative background with Python and QGIS is essential, plus willingness to learn additional GIS tools . High-performance computing (C, C++) is preferred but not required. Experience with data integration from multiple sources is key for redistricting databases . Check research assistant advice for skill-building.

Question 1

What are the essential qualifications for the Computational Research Analyst role?

Accepted Answer

The position requires a Bachelor’s degree in Computer Science, Statistics, or a related quantitative discipline, plus 1+ years of experience. Key skills include Python (including numpy), QGIS, GIS software, and experience gathering data from disparate sources. An interest in law, government, or democratic reform is essential, along with strong teamwork and multitasking abilities. Preferred: high-performance computing (C/C++) and excellent writing skills. Explore research jobs at Princeton for similar roles.

Question 2

What are the main responsibilities of this Computational Research Analyst position?

Accepted Answer

Responsibilities include performing original computationally intensive research on ranked-choice voting and U.S. electoral changes; maintaining a database of redistricting plans for all 50 states using Python, numpy, and GIS; publishing codebooks and datasets publicly; and coordinating with collaborators. Work supports peer-reviewed scholarship and public tools like the Princeton Gerrymandering Project. See research role tips.

Question 3

What is the salary and employment details for this role at Princeton University?

Accepted Answer

The salary range is $76,000 to $86,000. This is a full-time position with 36.25 weekly hours, no overtime eligibility, and benefits. The initial term is 1 year, renewable based on performance and funding, with a 180-day probationary period. Princeton is an Ivy League Equal Opportunity Employer.

Question 4

How do I apply for the Computational Research Analyst position?

Accepted Answer

Apply via the Princeton University requisition #2026-21709 before the expiration date of June 14, 2026. Submit your resume highlighting Python, QGIS, and quantitative experience. Tailor your application to redistricting and voting rules research. Use our free resume template and cover letter template for academic jobs.

Question 5

What research areas will this role focus on at Princeton?

Accepted Answer

Focus on aggregated decision-making, electoral mechanisms including redistricting, Electoral College, and ranked-choice voting. Develop computational simulations, geospatial analysis, and public databases using census and precinct data. Outputs include peer-reviewed publications and accessible tools for legal/academic use. Ideal for those interested in research assistant jobs in democratic reform.

Question 6

Is prior GIS or high-performance computing experience required?

Accepted Answer

A strong quantitative background with Python and QGIS is essential, plus willingness to learn additional GIS tools. High-performance computing (C, C++) is preferred but not required. Experience with data integration from multiple sources is key for redistricting databases. Check research assistant advice for skill-building.

Computational Research Analyst

Princeton University

Princeton, NJ

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