Research Associate Data Governance and Privacy (Center on Labor, Human Services, and Population)

$142,786 - $142,786/Yr

Urban Institute - Washington, DC

Full-time - Mid Level

Washington, DC

Professional, Scientific, and Technical Services

About the position

The Urban Institute is seeking a full-time research associate for the Data Governance and Privacy Practice Area. This role involves managing and conducting research and technical assistance related to data privacy, statistical methods, and quantitative research. The associate will focus on statistical data privacy, statistical modeling, survey analysis, and quantitative analysis on economic issues, contributing to proposals and business cultivation activities.

Responsibilities

• Conduct research using technology, data science, and statistical methods to address social and economic policy questions.
• Develop proposals and responses to solicitations for business cultivation.
• Assemble and analyze complex data, completing programming tasks and debugging in R, with familiarity in Stata as a plus.
• Analyze data using big data techniques, machine learning, and cloud computing technology.
• Develop open-source R packages for data science and statistical methods using Git and GitHub.
• Create insights from data using statistical knowledge.
• Suggest improvements or innovations in methods or processes.
• Work with confidential administrative data requiring a background investigation.
• Co-author research reports, briefs, blogs, presentations, and visualizations for external audiences.
• Support project management and team performance, including managing assistants and analysts, monitoring project progress, budget, and schedule.

Requirements

• Master's degree with at least 3 years of experience in Computer Science, Mathematics, Statistics, Economics, or a related field.
• Ph.D. preferred or equivalent combination of education and experience.
• U.S. citizenship or ability to obtain federal government clearance.
• Experience in assembling and analyzing complex data.
• Advanced knowledge of statistical and econometric methods, especially in statistical data privacy.
• Ability to implement research principles and goals into R code.
• Strong organizational skills to manage competing deadlines.
• Effective communication of complex data privacy concepts to various stakeholders.

Nice-to-haves

• Familiarity with Stata programming language.
• Interest in domestic economic and social policy issues.

Benefits

• Generous paid time off including nine federal holidays.
• Medical, dental, and vision insurance.
• Transit benefits.
• 403(b) retirement plan participation with employer contribution after six months.
• Access to a health advocate and personal finance coaching.
• Employee Assistance Program and educational assistance for degree programs.