Location: Washington, DC, or New Haven, CT, preferred; flexible for the right candidate

Position Description

The Center for Policing Equity (CPE) is seeking a highly-skilled Quantitative Research Associate with a passion for social justice to join our Science Program. The Research Associate will be responsible for co-developing, executing, and managing large-scale efforts to clean and standardize administrative data, as well as contributing to research projects and products. They will be expected to be adept at quantitative data wrangling and analysis and possess strong organizational and management skills. This position will report to the VP of Science.

Key Responsibilities

• Collaborate with the VP of Science to refine and execute current data standardization protocols for CPE Science Program
• Collaborate with the VP of Science to set agenda for continued expansion and improvement of CPE Science Program data infrastructure efforts
• Perform data wrangling and restructuring tasks to prepare data for use in academic publications, presentations, and reports
• Conduct advanced quantitative analyses of police behavioral data and supplemental data sources (demographic data, surveys, etc.)
• Manage and support junior staff working on data standardization and analysis efforts, including providing guidance in use of R or other statistical software
• Contribute to research articles and reports related to the intersection of law enforcement and racial equity, and support the VP of Science and CEO with high-priority, time-sensitive projects
• Support optimization of workflows for research processes and products
• Collaborate with data engineers, scientists, and analysts across the organization to improve efficiency and product integrity
• Ensure team’s adherence to data security and confidentiality protocols and support with writing of IRB protocols and amendments

Qualifications

• Required:
  • Master’s degree in relevant social science or applied quantitative discipline (e.g., Criminology, Demography, Political Science, Sociology, Epidemiology, Social or Developmental Psychology, Data Science, Economics, Public Policy, Statistical Methods, or Public Health) plus 2+ years of relevant professional experience or bachelor’s degree and 4+ years of relevant professional experience
  • Excellent quantitative skills, including data management experience, descriptive statistics, and multivariate regression analyses; programming experience in R, Python, and/or Stata strongly preferred
  • Strong organizational and management skills
  • Comfortable working independently, as well as collaboratively on a research team
  • Self-started; motivated; innovative; entrepreneurial
  • Passionate about social justice issues
• Preferred:
  • Experience working with large-scale administrative data sets
  • Experience with geospatial analysis and mapping using R or Python
  • Experience and interest working with diverse analytic methodologies (e.g., longitudinal data analysis, multilevel modeling, survey data analysis)
  • Experience contributing to peer-reviewed social science scholarship
  • Expertise and/or training in data security and ethics; experience writing and/or socializing IRB protocols for data security is a plus
  • Experience managing junior staff in conducting data analyses or research
  • Knowledge of publicly-available national data sets on public health, economic well-being, or related domains

Application Submission Guidelines

Applications will be considered on a rolling basis. To apply, please submit the following materials:

• CV/resume
• Cover Letter
• [Optional] Two representative research products or writing samples (research reports, peer-reviewed articles, data memos, etc.)