
Research Scientist 2
Massachusetts Institute of Technology
Cambridge, MAFull-time$74–111K/yrSeen 2w agoSeen in employer's feed 2 days ago
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Job overview
The Research Scientist 2 will oversee the data science workflow for the MEDSL election data lab, managing data collection, processing, and dissemination, assisting the director with research projects, and supervising student staff while ensuring quality control for the 2026 Elections Performance Index.
Skills & qualifications
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Full job description
Research Scientist 2
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Job Number: 26093
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Functional Area: Research - Other
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Department: Political Science
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School Area: Humanities, Arts, & Social Sciences
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Pay Range Minimum: $74,000
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Pay Range Maximum: $111,000
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Employment Type: Full-Time
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Employment Category: Exempt
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Visa Sponsorship Available: No
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Schedule: M-F
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Pay Grade: No Grade
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Posting Description
RESEARCH SCIENTIST 2, Political Science-MIT Election Data and Science Lab(MEDSL), to oversee the data science workflow of the lab's election-related data collection, processing, and dissemination efforts including assisting the director with designing and implementing research projects, gathering and analyzing data, designing research protocols, and documenting results; managing data science and quality control for the 2026 release of the Elections Performance Index (EPI); acquiring data from government sources and designing protocols to update indicators not provided by government sources; assisting with redistricting data collection/dissemination efforts; working with web designers to update EPI website and creating original content for MEDSL website; onboarding and monitoring the work of students/research support associates; tracking scholarship in the field of election science; and performing other data science/administative/reporting duties as assigned. MEDSL aims to improve the democratic experience for all U.S. voters by applying scientific principles to how elections are studied and administered.
Job Requirements
REQUIRED: Master's degree in data science, political science, or related area; experience analyzing data independently using statistical programs such as R Python, and Stata; excellent written and oral communication skills; flexibility; initiative; and ability to work as part of a team and as an independent researcher. PREFERRED: Research experience in voting, elections, election administration, redistricting, campaign finance, or similar subjects; demonstrated portfolio in data science and/or original computationally-intensive quantitative social science; candidates for and recent Ph.D. recipients in political science, economics, or related field with strong data science concentration; and knowledge of web design and architecture; or at least four years' field experience in elections and voting research and significant data science experience will also be considered.9/23/2026
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