Data Analyst in Collaborative Research Project (Political Science) with China focus (m/f/d)
Explicitly mentions vibe coding as a preferred skill alongside LLMs and AI-supported qualitative analysis.
About the Role
The Data Analyst will support a large collaborative political science research unit on China by collecting, curating, and standardizing web-derived datasets, producing data visualizations and infographics, and training team members in data management and analysis techniques to enable dissemination and reuse of research outputs.
Job Description
Role
The Data Analyst will join the Research Unit “Learning Empire” to support multiple projects studying China’s international practices. The role focuses on social science–based data collection (web scraping/crawling), dataset curation and standardization, data visualization (including maps and infographics), showcasing outputs on the project website, and training colleagues in data management.
Key Responsibilities
- Carry out social science–based data collection for FOR 5913/1 projects (web scraping/crawling).
- Create, curate, preprocess, and standardize datasets for analysis and repository deposition.
- Lead on data visualization across projects, producing maps, infographics, and web-presentable visuals.
- Prepare datasets for social science repositories and support large-scale data reuse.
- Train and support members of the research unit in data management best practices.
- Engage actively in the intellectual life of the Research Unit and collaborate with partner institutions (including potential secondments).
Requirements
- Bachelor’s degree in Social Data Science, Computational Social Science, or a related field.
- Experience in social science–based data analysis and use of novel AI tools.
- Proven expertise in data visualization, network analysis, data management, web scraping/web crawling, preprocessing, and standardization.
- Experience with LLMs and AI-supported qualitative analysis and/or vibe coding preferred.
- Experience working with data repositories such as GESIS and GitHub.
- Excellent communication skills for training and collaboration; ability to work independently and in diverse teams.
- Excellent English; Mandarin Chinese fluency preferred.
What We Offer
- Full-time (100%), fixed-term position (30 months).
- Career development and individual onboarding; opportunities for secondments to partner institutions.
- Work-life balance with trust-based working hours.
- Company fitness program (EGYM Well Pass).
- Company bike leasing via Deutsche Dienstrad.
- 30 days annual leave plus additional special leave days.
- Green campus with dining and recreation facilities.
- Commitment to sustainability, equal opportunities, and academic freedom.
Application
- Deadline: June 26, 2026.
- Submit a single PDF including cover letter (max 1500 words), CV with proof of C1-level English (or equivalent), and academic degree transcripts.
- Contact: Prof. Dr. Tobias ten Brink (ttenbrink@constructor.university) for further information.