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