Your position
In this hybrid role, you will support both research engineering and local IT administration for the AICH group:
Research Engineering (approx. 60%)
1. Develop and maintain data pipelines and reproducible ML/AI workflows (Python).
2. Support clinical data ingestion, pseudonymization, and secure transfer to cluster environments.
3. Build and manage containerized environments (Docker, Singularity) and orchestrate jobs via SLURM.
4. Support researchers (PhD students/Postdocs) with data preparation, prototyping, and code organization.
5. Contribute to infrastructure for MLOps (logging, experiment tracking, reproducible setups).
6. Collaborate in ML/AI research projects and publications together with PhD students and postdocs.
7. Participate in collaborative projects with clinical and technical partners.
IT Administration (approx. 40%)
8. Maintain local group IT infrastructure (user accounts, laptop setup, access control, basic troubleshooting).
9. Coordinate with UniBasel HPC and DBE IT services (network access, storage, permissions, security).
10. Ensure data security and compliance for sensitive health data (in collaboration with clinical IT partners).
11. Manage group website updates and support digital communication tools.
12. Oversee software licensing, hardware procurement, and inventory.
Your profile
13. Master's degree in Computer Science, Software Engineering, Data Engineering, or a related field.
14. Strong programming skills in Python; experience with shell scripting.
15. Familiarity with HPC or cloud compute environments, or motivation to learn SLURM/HPC workflow management.
16. Familiarity with cloud or HPC environments.
17. IT administration experience (Linux user management, updates, device setup).
18. Understanding of data privacy and security, ideally in a clinical or research context.
19. Experience with ML/AI workflows (MLFlow, PyTorch, W&B) is a plus.
20. Knowledge of CMS systems (WordPress/Drupal) is an advantage.
21. A high degree of independence: able to take ownership of tasks, drive projects forward, and proactively identify solutions.
22. Strong problem-solving mindset; proactive and reliable.
23. Clear communication, willingness to support colleagues, and comfort working in interdisciplinary teams.
24. Fluent in English (spoken and written). German is an advantage but not required.