Research Data Expert

To support teaching, research and knowledge transfer, the IT Services (ITS) of ETH Zurich are working as a service organization in a large and complex IT environment. Within the ITS section Scientific IT Services the group Computational & Data Science Support (CDSS) aims at bridging the gap between computational research and IT services and infrastructure provisioning.

We are working closely together with ETH researchers to provide support in the wide area of scientific computing from data management and analysis, development of scientific software, to porting and optimizing such software to high-performance and cloud computing infrastructures.

CDSS has current an open position for a Research Data Expert.

In this role, your responsibilities and work will primarily consist of training and consulting ETH researchers in the areas of research data management (RDM) and reproducible research. This includes, for instance:

• developing and presenting training materials that enable scientists to adopt FAIR data principles in their daily research;
• transforming training materials into innovative new formats such as online modules in learning management systems;
• supporting researchers in the development of discipline-specific RDM training materials;
• helping researchers in adopting FAIR principles by developing and supporting suitable computational / IT solutions;
• translating researchers’ requirements into practical RDM solutions through development and integration of modern RDM software systems (e.g., plugins, web apps, workflows).

You will work closely in a team of SIS experts, comprising RDM experts, research software engineers, data scientists, etc.

This position requires

• PhD degree in data / computational science or related field such as physics, bioinformatics / computational biology, computer science, etc.;
• familiarity with the FAIR data principles and the research data life cycle;
• experience in teaching and a passion for presenting abstract concepts in an engaging way;
• working knowledge with research data management according to the FAIR principles and corresponding software systems (e.g., openBIS);
• hands-on experience with best practices for code management and reproducible research (e.g., Git, Conda, Docker) and with working in the Unix/Linux environment;
• strong communication and coordination skills to engage with researchers in different disciplines regarding their RDM challenges.

Advantageous are experience and/or working knowledge with the following topics:

• Python and its scientific libraries (e.g., Numpy, Pandas);
• creating online course materials using learning management systems (e.g., openEdx) and familiarity with the concept of Open Educational Resources (OER);
• applying best practices in scientific programming (e.g., automated testing and version control), container technologies and workflow management systems.

In addition to the above analytical and technical abilities, this position demands excellent communication skills in English (German is an asset) and didactic skills, a commitment to continuous learning as well as the interest in, curiosity and ability to effectively collaborate with domain scientists and IT specialists alike.

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.

Working at the Vice Presidency for Infrastructure and Sustainability (VPIN) means helping to shape the future of ETH Zurich – an inspiring, international and innovative institution. Your commitment creates the best conditions for excellence in teaching, research, knowledge transfer and sustainability at ETH Zurich.

In an open, inspiring atmosphere, trust, reliability and mutual respect form the foundation of our collaboration. We offer not only security, but also diverse opportunities for development. With us, you can look forward to meaningful work in an innovative and appreciative environment – one that you can help shape and that opens new perspectives for you.

• We live by the principle of Lifelong Learning
• Benefits such as public transport subscriptions and car sharing, access to the wide range of ASVZ sports activities, childcare services, and attractive pension benefits

This contract will be for a period of one (1) year, with possibility of renewal subject to budgetary considerations.

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

• Motivation letter;
• CV;
• Diplomas and work certificates;
• Contact information of at least two references.

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 Scientific IT Services can be found here . Questions regarding the position should be directed to Dr. Henry Lütcke at Write an email or Dr. Thomas Wüst at Write an email (no applications).

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

For recruitment services the GTC of ETH Zurich apply.