Student Assistant - Data Curation & Supply Chain Knowledge Graphs

Our team at KOF, ETH Zurich is seeking a student assistant to support the project "Computing Resilience Indicators for Pharmaceutical Supply Chains."  This project aims to build a comprehensive database linking pharmaceutical production and global trade data to support work on data-driven policies for resilient market design.

This position consists of database assembly and maintenance, with tasks spanning data discovery, scraping, cleaning, and processing. It is particularly suited to a student with strong data science skills and an interest in working with graph-based database software. .

• Identifying public and commercial data sources relevant to pharmaceutical production, trade, and supply chains.
• Writing scripts for web scraping and data collection from structured and semi-structured sources.
• Curating and standardizing data for ingestion into a Neo4j knowledge graph.
• Documenting data integration steps and challenges.

• Enrolled at ETH Zurich or the University of Zurich in computer science, information systems, data science, or related fields.
• Strong programming skills in Python.
• Experience with web scraping (e.g., BeautifulSoup, Selenium) and data pipelines.
• Familiarity with databases (SQL, NoSQL); Neo4j or graph databases is a strong plus.
• Interest in applied research on complex real-world systems.

• Your job with impact: Become part of ETH Zurich, which not only supports your professional development, but also actively contributes to positive change in society
• We are actively committed to a sustainable and climate-neutral university
• You can expect numerous benefits , such as public transport season tickets and car sharing, a wide range of sports offered by the ASVZ , childcare and attractive pension benefits

We look forward to receiving your online application before Friday, June 6 2025 with the following documents:

• CV
• Letter of Motivation

Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.

Further information about our research project can be found  here . For further information, please contact Dr. Giona Casiraghi at Write an email (no applications).

For recruitment services the  GTC of ETH Zurich  apply.