Data Scientist (f/m/d)
- Befristung: fixed term until 31.12.2025
- Arbeitszeit: full time position (38.5 h/week)
- Entgelt: salary according to TV-L
- Anzeige veröffentlicht am 21.03.2024
- Stelle zu besetzen ab 13.03.2024
- Bewerbungsschluss: 30.04.2024
We are searching for a candidate to support the work of MBExC at the Göttingen Campus Computing Centre (Gesellschaft für Wissenschaftliche Datenverarbeitung Göttingen e.V., GWDG). At the GWDG, your main task will be to set up an MBExC relevant high performance computing infrastructure for interactive and batch data analysis tasks and to provide further computational support. At MBExC, the candidate will work together with data science and data management experts to implement solutions for the data analysis problems of the life scientists within the cluster. These solutions will mainly be implemented using GWDG resources.
Your tasks:
- implement infrastructure for analysis tasks requiring interactive computation and a graphical interface on HPC resources
- provide first level support to MBExC groups for the installation of HPC computational infrastructure
- implement data analysis solutions in collaboration with MBExC scientists
- document data analysis with HPC infrastructure
- coordinate communication between HPC experts and MBExC scientists
Your profile:
- PhD in computer sciences, natural sciences, or a related field
- experience with HPC resources, in particular with slurm and containerization preferable
- experience with one of the main data science applications within the cluster, e.g. image or signal analysis
- knowledge of English is required
We offer:
- a challenging and varied job in an interdisciplinary, committed, and dynamic team
- great insight into the various research activities of MBExC
- the promotion of individual strengths and skills as part of our extensive training and further education program
- remuneration according to TV-L with various social benefits, e.g. a company pension scheme
The University Medical Center Göttingen is committed to professional equality. We therefore seek to increase the proportion of under-represented genders. Applicants with disabilities and equal qualifications will be given preferential treatment.