Temp Graduate Assistant, Quantitative Research

Professor Amber Spry seeks a graduate research assistant with experience in quantitative data analysis to support a project on social group identity in United States politics. The RA will assist with preliminary data analysis for a survey experiment measuring the impact of identity (race, gender, ideology, religion) on political attitudes and behaviors. The RA should be skilled in data analysis and able to perform tasks such as data visualization, creating tables and figures, multivariate regression analysis, other advanced forms of quantitative analysis, and data manipulation in R. The RA may also assist with writing literature reviews for publications related to the project, and should possess basic knowledge of causal inference and intergroup behavior in United States politics. This project will be of interest to graduate students whose work engages political science, identity politics, gender and women's studies, and related disciplines.

This opportunity is for remote work and will involve occasional zoom meetings, but the RA will not be required to work from location on the Brandeis campus.

Duties and Responsibilities :

• Conduct data analysis for a new large-N dataset of U.S. residents using advanced quantitative methods
• Data visualization and reporting of findings
• Creating tables, figures, and charts for publication and presentation
• Composing literature reviews

Required Skills and Qualifications :

Must be reliable, organized, and detail oriented

Strong quantitative analysis skills

Able to complete analysis tasks on a deadline with minimal to no supervision.

Experience with R

M.A. or Ph.D. student in political science, sociology, psychology, statistics, or related discipline

Compensation :

25 per hour

RA is expected to provide 10-12 hours of support per week to the project

Time commitment : January - May 2023

Equal Opportunity Statement

Brandeis University is an equal opportunity employer which does not discriminate against any applicant or employee on the basis of race, color, ancestry, religious creed, gender identity and expression, national or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other category protected by law (also known as membership in a "protected class")