Research Engineer & IT Administrator (80-100%)

Your assignments

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.

We offer you

• An exciting and meaningful role at the interface of medicine, AI, and digital health.

• A supportive and interdisciplinary research environment combining clinical, technical, and scientific work.

• Access to state-of-the-art computing infrastructure (HPC clusters).

• Opportunities for professional growth (HPC, MLOps, ML engineering, research software engineering).

• Depending on the candidate’s background and research interest, the role may include participation in ML/AI publications.

• Flexible working arrangements and a collaborative team culture.

• Employment conditions in accordance with the University of Basel.