Research Engineer & IT Administrator (80-100%)
Universität Basel
Basel
Infos sur l'emploi
- Date de publication :20 novembre 2025
- Taux d'activité :80 – 100%
- Lieu de travail :Basel
Group: Analytics & Informatics for Child Health (AICH)
Starting date: As soon as possible or upon agreement
Duration: 2 years, with possibility of extension
The Analytics & Informatics for Child Health (AICH) group develops AI/ML methods, digital tools, and secure data pipelines to advance pediatric healthcare. We work at the intersection of clinical medicine, machine learning, and data-intensive research, collaborating closely with hospitals, clinical IT teams, and research partners at the University of Basel.
We are looking for a motivated Research Engineer & IT Administrator who combines support for open research questions, strong technical engineering skills with hands-on experience in managing scientific computing infrastructure, data workflows, and operational IT needs within a research group.
Starting date: As soon as possible or upon agreement
Duration: 2 years, with possibility of extension
The Analytics & Informatics for Child Health (AICH) group develops AI/ML methods, digital tools, and secure data pipelines to advance pediatric healthcare. We work at the intersection of clinical medicine, machine learning, and data-intensive research, collaborating closely with hospitals, clinical IT teams, and research partners at the University of Basel.
We are looking for a motivated Research Engineer & IT Administrator who combines support for open research questions, strong technical engineering skills with hands-on experience in managing scientific computing infrastructure, data workflows, and operational IT needs within a research group.
Your position
In this hybrid role, you will support both research engineering and local IT administration for the AICH group:
Research Engineering (approx. 60%)
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.
- 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.
Application / Contact
Please submit the following as a single PDF:
Applications should be sent via the University of Basel application portal. For futher questions, please reach out directly to Prof. Dr. Ece Özkan Elsen (Write an email).
Please submit the following as a single PDF:
- CV
- Cover letter
- Contact information for 2-3 references
- (Optional) Links to GitHub/portfolio or previous technical work
Applications should be sent via the University of Basel application portal. For futher questions, please reach out directly to Prof. Dr. Ece Özkan Elsen (Write an email).
Universität Basel
4000 Basel
4000 Basel
