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The Functional Genomics Center Zurich (FGCZ) is a joint research and training facility of ETH Zurich and the University of Zurich, providing state-of-the-art technologies and expertise for omics research. This position focuses on mass spectrometry data, with an emphasis on bioinformatics analysis and interpretation to support researchers at the FGCZ.

Tasks

  • Support the FGCZ proteomics and metabolomics user community by maintaining existing and developing new mass spectrometric data processing and analysis pipelines.
  • Apply expertise in informatics and data science to ensure the reproducibility of data analysis performed.
  • Perform back-office and user-desk tasks as a member of the FGCZ bioinformatics group to support collaborators at ETH and the University of Zurich with data interpretation and bioinformatics projects.
  • Integrate data into the data management system and ensure reproducibility of analysis.

Requirements

  • Team player, working closely with wet-lab scientists and translating their needs into analysis.
  • Academic degree in a relevant area, including (but not limited to) computer science, statistics, or biology.
  • Master’s degree in a relevant field; candidates with a Ph.D. are equally welcome to apply.
  • Proficiency in Microsoft Windows and Linux operating systems, including command-line interfaces.
  • Practical knowledge of at least one programming language (C++, C#, Java, Python) and tools such as Git.
  • Responsible and informed use of AI-assisted tools in a scientific context.
  • Familiarity with the management and analysis of large-scale datasets, in particular omics-related data (preferred).
  • Background in bioinformatics, ideally in mass spectrometry (preferred).
  • Experience in imaging, spatial, or cross-omics disciplines (preferred).
  • Proven track record of writing and maintaining code (preferred).
  • Experience in R/Bioconductor and client-side web programming (preferred).
  • Experience with UI/UX design, particularly the development of web-based or desktop interfaces for scientific data visualization (preferred).
  • Experience with virtualization tools, e.g., Docker, Apptainer (preferred).
  • Experience with resource management software, e.g., Slurm (preferred).
  • Ability to work independently and interact effectively with the center's research and technical staff and external research groups in a team-oriented manner.
  • Advanced knowledge of English, as this is the working language of the center.

Benefits

  • A highly interesting position at the intersection of technology and life science research.
  • Employment conditions according to the regulations of ETH Zurich and the University of Zurich.
  • Collaboration with an international, multicultural group in a motivating, friendly, and flexible atmosphere.
  • Employment at ETH Zurich; the position is available immediately.
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Über uns
Die ETH Zürich ist eine technisch-naturwissenschaftliche Hochschule des Bundes mit Sitz in Zürich. Wir betreiben Lehre, Forschung und Wissenstransfer in Bereichen wie Ingenieurwissenschaften, Naturwissenschaften, Architektur, Mathematik, Informatik, Management sowie Sozial- und Geisteswissenschaften. Unsere Ausbildung umfasst Bachelor-, Master-, Doktorats- und Weiterbildungsangebote und ist eng mit internationaler Spitzenforschung verbunden. Als Teil des ETH-Bereichs entwickeln wir wissenschaftliche Grundlagen, Technologien und Lösungen für Gesellschaft, Wirtschaft und globale Herausforderungen.
Das Team

The team covers raw data processing, high-performance computing, statistical evaluation, interpretation, and integrated analysis, maintaining a portfolio of commercial and open-source applications and establishing novel data processing and analysis pipelines.

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