Organisation/Company University of Basel Research Field Computer science » Database management Computer science » Programming Computer science » Other Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Country Switzerland Application Deadline 20 Dec 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Negotiable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No
Offer Description
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.
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.
* 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.
* 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.
* 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.
Applications / Contact
Please submit the following as a single PDF:
* CV
* 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 (ece.oezkanelsen@unibas.ch ).
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