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Hirschengraben 84, 8001 Zürich, Switzerland

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"Student Assistant in Research Data Management Methods and Workflows"

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Student Assistant in Research Data Management Methods and Workflows

Student Assistant in Research Data Management Methods and Workflows

University of Zürich Center for Reproducible Science and Research Synthesis

Student Assistant in Research Data Management Methods and Workflows (1 year) 20 - 40 %

Start of employment June 2026 or upon agreement, temporary

The University of Zurich (UZH) plays a prominent role in Open and Reproducible Science, both nationally and internationally. With the Center of Reproducible Science and Research Synthesis (CRS), UZH pursues the goal to improve the overall reproducibility of empirical research and to promote original research in meta-science. As an important part of CRS activities, we provide research data management (RDM) expertise in scientific collaborations and research synthesis projects.

Your responsibilities

  • Contribute to hands-on support and practical training to help researchers align their outputs with FAIR data management principles.
  • Develop simple code and documentation to assist on specific tasks such as data harmonization, metadata generation, file hashing to support data integrity, monitoring relational databases, etc.
  • Help develop reproducible dashboards (e.g., in Quarto) with clear documentation so that researchers can sustain them
  • Create reproducible and interactive training materials and demos using Markdown and Quarto or Python Notebooks in Git repositories
  • Assist in the organization of workshops (e.g., Datathons) and training events
  • Gain knowledge in evolving data ontologies and standards (e.g., RDF and linked data) and research infrastructures; disseminate this knowledge within the team

Your profile

The candidate should have a strong interest in improving the quality of science through good data management, and consider a career as a data specialist. Specifically, the candidate should have

  • A Bachelor's degree in a discipline involving technical and quantitative expertise
  • Advanced computational skills; Python or R and Git are essential
  • Hands-on experience with relational databases and data table manipulation
  • Excellent knowledge of English and good communication skills
  • Capacity to write clear documentation and to communicate technical information for non-technical audiences
  • Flexibility and adaptability to understand researchers with varying levels of IT affinity
  • Ability to work in a small team
  • Experience conducting and/or supporting academic research is a plus

Information on your application

Please submit your application as one single PDF file before 12 April 2026.

What we offer

Work-Life Balance

  • Flexible working models (such as part-time positions, mobile working, job-sharing)
  • Childcare at the kihz foundation of UZH and ETH

Learning and Development

  • Wide range of continuing education courses of UZH and the Canton of Zurich
  • Language Center run jointly with ETH Zurich

Food

  • Food and drinks at reduced prices in the UZH cafeterias
  • Lunch-Check-card with UZH contribution

Healthcare

  • Special conditions on the Academic Sports Association ASVZ
  • Free seasonal flu vaccinations
  • Rest and relaxation at the quiet room in the university tower

Discounts

  • Private traffic: Carsharing, rent a vehicle, parking space
  • Digitalization: Hardware, software, mobile phone subscriptions
  • Special conditions on hotel reservations

Conditions of Employment

  • Policies of the UZH
  • Most UZH staff are employed according to public law

International Services

  • Support for people from outside Switzerland

Campuses

  • Campuses Zurich City, Zurich Irchel, Oerlikon and Schlieren
  • Sites Zurich West, Old Botanical Garden, Botanical Garden and Lengg

Location

Center for Reproducible Science and Research Synthesis

Hirschengraben 84, 8001 Zürich, Switzerland

Further information

Questions about the job

Gorka Fraga Gonzalez Scientific Staff

Questions about the application procedure

Fabio Molo Managing director

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