What are the responsibilities and job description for the Research Assistant: CIRCLE, Tisch College position at The Global Institute for Health and Human Rights?
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and the job listing Expires on October 29, 2026
Part-time
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CIRCLE Is Seeking a Graduate Student Level Research Assistant To Support The CIRCLE Data Team With a National Voter Registration Study And Data-related Work For The 2026 Election Season, As Well As Other Data Tasks On CIRCLE Research Projects. The Person In This Position Would:
- Clean youth voter registration datasets
- Analyze national survey data on youth civic engagement
- Write blog-post style reports on data output
- Create simple data visualizations
- Review and check R code related to data cleaning, data merging, data storage, QA, and analysis,
- Build ETL (Extract, Transform, Load) pipelines Required qualifications, experiences, and skills include, but are not limited to:
- Undergraduate-level degree in data science, political science, or related social science field, and, either working towards a Master’s or PhD in those fields or significant work experience.
- Fluency in R and R Studio: i.e., must be able to write R code using well-known R packages such as tidyverse with zero or little help from the internet or AI.
- Proficiency with using Git and GitHub for storing and reviewing code.
- Ability to analyze data and write blog post style reports on data outputs, including creating data visualizations.
- Basic knowledge or experience of working with voter files, voter registration data.
- Experience with Google BigQuery.
- Past professional experience in or coursework on analyzing survey data, including using weight variables and interpreting regression results.
- Ability to collaborate with colleagues and stakeholders (young people, organizers/practitioners, etc.) from diverse backgrounds, views, and positions.
- Willingness to forefront equity issues in data science and think about how issues of equity can be resolved while maintaining rigor.
Preferred Qualifications:
- Basic knowledge or experience of working with voter files, voter registration data.
- Experience with Google BigQuery.
- Past professional experience in or coursework on analyzing survey data, including using weight variables and interpreting regression results.
- Ability to collaborate with colleagues and stakeholders (young people, organizers/practitioners, etc.) from diverse backgrounds, views, and positions.
- Willingness to forefront equity issues in data science and think about how issues of equity can be resolved while maintaining rigor.