Petabytes of data of our users are waiting to be properly managed and made publicly available according to the FAIR Principles of modern Research Data Management (RDM). You will make this possible:
- administration & enhancement of a gitlab-based RDM system for omics and imaging,
- data publication workflows from this RDM system to the university libraries,
- data analysis workflows and connectivity,
- integration of new data products or even entire databases, and
- support for data steward and users in using the system, including educational courses.
- implementing data publication directly from supercomputing storage,
- harmonisation of metadata handling for datasets at the GCS supercomputing centres,
- automating publication of these (meta-)data via data portals (similar to www.zenodo.org) and search engines, and
- enhancing, testing or maintaining data-transfer tools and methods.
- several years of experience with Linux and fluency on the Linux Command Line (bash),
- fluency in at least one further programming/scripting language (preferably Python),
- basic familiarity with NFS;
Area | FOR (Research and Development) |
Working time | full time (40 hrs) flexible working model with electronic time recording |
Term of the contract | up to 31/12/2026; we aim to make follow-up projects possible |
Remuneration | up to E13, see Entgelttabelle TV-L |
Annual leave / compensatory time off | 30 days (24.12. + 31.12. off in addition) overtime is compensated by additional time off |
Further trainings | individual support for in-service training and further education |
Mobile work | up to 60% of work time |
Benefits | bus and subway (U6) on the doorstep, free parking, pension plan of the Versorgungsanstalt des Bundes und der Länder (VBL), state-of-the-art work equipment, offices and and community rooms |
We are looking forward to receiving your complete application documents (including cover letter, CV and certificates) in a single PDF file (other file types are not accepted) by latest 19.01.2025:
Subject: FOR (2024/57)
Are you unsure whether the job suits you or you suit us? Or do you still have questions about this position? Our colleagues will be happy to answer all your questions at the above e-mail address.
This job does not fit? Then take a look at https://www.lrz.de/wir/stellen/ or send us an unsolicited application!
Here you will find information about the collection of personal data during the application process.Since 1962, Bavarian universities and research institutions have relied on the IT expertise of the Leibniz Supercomputing Centre of the Bavarian Academy of Sciences and Humanities. When it comes to the digital transformation of science, we are traditionally ahead of the game.