Data Manager

• NEXUS Personalized Health is the technology platform for personalized health at
• ETH Zurich

Since 2015, NEXUS has enabled and accelerated biomedical research by providing scientific expertise and tailored services in clinical bioinformatics, software engineering, biostatistics, high-throughput screening, and data management.

Working at the interface between research and clinical application, NEXUS collaborates with researchers from ETH Zurich, hospitals, academia, and industry to develop innovative solutions that advance personalized medicine.

Project background

NEXUS supports two cutting‑edge biomedical research projects that rely on robust and secure research data management.

Data and metadata are collected from multiple laboratories, stored on the highly secure Leo Med platform, and consolidated within a Lab Key installation to provide researchers with high‑quality, well‑organized datasets.

To cover a maternity leave, we are looking for a Data Manager for a fixed‑term appointment of six months.

In this role, you will support the day‑to‑day data management activities of ongoing research projects, ensuring data quality, consistency, and compliance while working closely with researchers.

This is a fixed‑term position for 6 months, from September 2026 to February 2027.

Responsibilities

• Collect, curate and organise research data and metadata from multiple laboratories.
• Ensure data completeness, consistency and quality throughout the project lifecycle.
• Maintain and update metadata within Lab Key and related systems.
• Write and maintain scripts (e. g. in Python or Bash) to parse, transform and validate research data.
• Support data synchronization and secure storage on Leo Med.
• Assist researchers with data management questions and documentation.
• Help implement data governance and FAIR data principles within research projects.
• Document data workflows, standards and project procedures.
• Collaborate with software engineers and researchers to improve data management processes.

Qualifications

• MSc in Bioinformatics, Computational Biology, Computer Science, Data Science, Life Sciences or a related field.
• Experience working with biomedical or scientific research data.
• Good scripting skills (preferably Python; Bash or similar languages are also welcome) for parsing, transforming and validating data.
• Basic understanding of relational databases and SQL.
• Familiarity with research data management concepts and metadata.
• Strong organisational skills and attention to detail.
• Very good written and spoken English.
• Nice to have
• Experience with Leo Med or other secure computing environments.
• Experience using Lab Key or similar laboratory information/data management systems.
• Knowledge of FAIR data principles.
• Experience working in collaborative biomedical research projects.
• We offer
• An opportunity to contribute to cutting‑edge biomedical research at ETH Zurich.
• Flexible working hours and the possibility to work partially from home.
• A collegial, interdisciplinary and supportive team.
• A structured onboarding and handover for this temporary position.
• Modern office facilities at the Bio‑Technopark Schlieren.
• The opportunity to gain experience with state‑of‑the‑art biomedical data infrastructures and collaborate with leading researchers.
• Attractive employment conditions according to ETH Zurich regulations.

In line with our values, ETH Zurich encourages an inclusive culture.

We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected.

Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish.

Sustainability is a core value for us – we are consistently working towards a climate‑neutral future.

• We look forward to receiving your online application with the following documents:
• CV
• Certificates

Questions regarding the position should be directed to David Meyer (no applications).

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

We would like to point out that the pre‑selection is carried out by the responsible recruiters and not by artificial intelligence.

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