Research Consultant Data Support
UNIDIR is an autonomous United Nations research institute for disarmament, arms control and international security. It currently operates AI-governance research and digital policy tools, including the AI Policy Portal and its Centre of Excellence on AI, Peace and Security.
Investors
About United Nations Institute for Disarmament Research
Established by the United Nations General Assembly, UNIDIR conducts independent research, convenes policy dialogue and develops transparency-oriented tools for Member States and other stakeholders. Its work spans disarmament and international security, including artificial intelligence, cybersecurity, science and technology, and weapons governance.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will clean, de-identify, integrate, analyse, and visualize survey data. You will support data-quality monitoring, data protection, documentation, reporting, publications, and presentations of findings for policy and public audiences.
Requirements
- Advanced degree in international relations, political science, economics, statistics, or a quantitative social science discipline, or a bachelor's degree plus two years of relevant experience
- Proficiency in R for data cleaning, statistical analysis, and visualization
- Understanding of statistical analysis methods, including multivariate regression
- Ability to learn SurveyCTO and use the project's surveys
- Strong data analysis and visualization skills
- Experience producing accessible reports from large datasets
- Excellent written and oral English
Responsibilities
- Clean, de-identify, and integrate survey data
- Develop statistical analyses and write accessible results
- Contribute to research publications
- Create charts and infographics for reports and briefings
- Monitor and verify incoming survey data
- Manage and store project data in line with data-protection measures
- Document survey changes, data-cleaning processes, and lessons learned
- Contribute to codebooks and libraries
- Present data and findings at events when relevant
