The world is changing at an ever-faster pace. At the Johannes Kepler University Linz, we work on technologies and the ideas of tomorrow on a daily basis. At the same time, we educate over 27,000 young people to meet the demands of today’s job market. In short, we are Upper Austria’s largest institution for education and research. Are you interested in being a part of shaping the future of Austria’s most attractive campus university? We currently have a job opening for a:
Data Engineer*in for a full-time, permanent position
Organizational unit::
Universitätsklinik für Neurologie
Entry date::
09/01/2026
Job Reference Number::
61140-2026-001995
:
For our emerging research group "Transformative Healthcare with AI". we are looking for a motivated and technically skilled Data Engineer to join our interdisciplinary neuroscience research group. You will have the opportunity to shape the technical infrastructure of an active, future-oriented research programme and to collaborate with an interdisciplinary team of neuroscientists, clinicians, and computer scientists.
Our research group is part of the Department of Neurology at the Faculty of Medicine at JKU Linz, which, in addition to its function as a center for maximum clinical care, focuses on pathophysiological and clinical research across the spectrum of neurological diseases. We are operating at the intersection of clinical neurology, neuroimaging and artificial intelligence and realizing technical solutions for personalized patient care. In our research, we are combining state-of-the-art machine learning algorithms with software engineering best practices to provide tangible outcomes for individual patients. Our mission is to algorithmically embrace inter-individual variability across various neuroscientific data modalities and create personalized model contexts, tailoring medical data analysis to the unique needs of each individual.
Our research group is part of the Department of Neurology at the Faculty of Medicine at JKU Linz, which, in addition to its function as a center for maximum clinical care, focuses on pathophysiological and clinical research across the spectrum of neurological diseases. We are operating at the intersection of clinical neurology, neuroimaging and artificial intelligence and realizing technical solutions for personalized patient care. In our research, we are combining state-of-the-art machine learning algorithms with software engineering best practices to provide tangible outcomes for individual patients. Our mission is to algorithmically embrace inter-individual variability across various neuroscientific data modalities and create personalized model contexts, tailoring medical data analysis to the unique needs of each individual.
Job Duties::
- Design and development of interfaces to automate data exchange, integrate scientific models, and ensure interoperability with clinical IT systems
- Implement, and optimize end-to-end data pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data
- Optimise data storage and retrieval mechanisms for performance and scalability
- Develop an MLOps infrastructure for the deployment, monitoring, and versioning of machine learning models
- Consult and support research projects from a data engineering perspective: working closely with prediction modellers to identify the data needs for statistical and machine learning approaches, including medical data pre-processing and feature extraction strategies in large datasets
- Teach and supervise software engineering best practices within collaborative research projects and contribute to the department's teaching activities
- Provide technical guidance and support to team members as needed
Your Qualifications::
- Completed degree in computer science, software engineering, data engineering, medical informatics, systems administration, or a comparable training with work experience in a technical field
- Gute Deutsch- und Englischkenntnisse (Niveaustufe C1 für eine der beiden Sprachen bzw. B2 oder die Bereitschaft diese zu erlernen bis min. Niveau B2 für die jeweils andere Sprache)
- Solid Linux system administration skills and expertise in data management, including database technologies, parallel computing and scalable architectures
- Strong programming skills in Python and familiarity with modern software engineering and DevOps practices (containerisation, CI/CD) in HPC or cloud environments
- A collaborative, solution-oriented mindset with strong ownership and the ability to take responsibility for complex technical systems
- Interest in and/or prior experience with neuroimaging data modalities, clinical research workflows, biomedical data standards, and open science data principles
- Close collaboration with an interdisciplinary team of neuroscientists, clinicians, and computer scientists
What We Offer::
- On the basis of full-time employment (40 hours/week) the minimum salary in accordance with the collective agreement is € 3,776.10 gross per month (14 x per year, CA Job Grade: IVb)
- Stable employer
- Attractive campus environment with good public transportation connections
- Educational and continual educational opportunities
- Paid lunch break
- Exercise and sports classes (USI)
- Employee events
- …and much more
Application due date::
07/15/2026
:
The university welcomes applications from qualified applicants with disabilities. These applications will be given special consideration.
Please send your detailed application, including CV, certificates, publication list, and a short research plan for the next four years.
Space for your future? We look forward to receiving your application via our job portal. For further information, please contact: Dr. Ramona Leenings, E-mail: ramona.leenings@jku.at.
Please send your detailed application, including CV, certificates, publication list, and a short research plan for the next four years.
Space for your future? We look forward to receiving your application via our job portal. For further information, please contact: Dr. Ramona Leenings, E-mail: ramona.leenings@jku.at.
Location::
Krankenhausstraße
5,
4020
Linz