Data Scientist

Data Scientist

Unternehmen: Johannes Kepler Universität Linz

Standort: Krankenhausstraße 5, 4020, Linz, Austria

Arbeitszeit: 20-hour/week (part-time)

Anstellungsart: permanent position

Eintrittsdatum: ehestmöglich

Kennziffer: 61100-2026-001963

Organisationseinheit: Universitätsklinik für Anästhesiologie und operative Intensivmedizin

Veröffentlicht: 2026-05-26 11:05:07.541

Bewerbungsfrist: Wed Jul 08 00:00:00 CEST 2026

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 Scientist for a 20-hour/week (part-time), permanent position

In recent years, the School of Medicine at Johannes Kepler University Linz (JKU) has successfully established itself as an innovative hub for medical education and research. With its modern medical campus located in close proximity to Kepler University Hospital, the school offers researchers an attractive and productive environment for training, research, and interdisciplinary collaboration.

The Department of Anesthesiology and Surgical Intensive Care Medicine is seeking to fill a position as a Data Scientist for the implementation and execution of projects in the field of artificial intelligence, with a work schedule of 20 hours per week:

Job Duties:

• Contribute to the development and implementation of machine learning and data science projects within the research group, as well as, where appropriate, in interdisciplinary teams and interdisciplinary clinical research projects at the University Clinic for Anesthesiology and Surgical Intensive Care Medicine
• Further development of pipelines for automation, data validation, and data provision using innovative, experimental approaches
• Working with databases from the data warehouse in a hospital setting, e.g., i.s.h.med (SAP), Centricity High Acuity
• Preparation of clinical data for data science and machine learning projects, e.g., annotation, visualization, sparse data handling, aggregation, augmentation
• Statistical analysis and interpretation, visualization of results, and clear documentation
• Working in a Linux/Ubuntu-based development environment and utilizing HPC resources for data-intensive analyses and modeling processes
• (Increasingly independent) work on individual subprojects as a team member within established research projects, depending on experience and expertise

Your Qualifications:

• Degree in Artificial Intelligence, Computer Science, or a related field
• Strong programming skills in Python and SQL, particularly as applied to machine learning projects
• Experience with machine learning architectures and algorithms
• Experience using Agentic AI and automating workflows, e.g., code assistance tools
• Basic understanding of modern software engineering principles, such as clean code, version control, reproducible workflows in teams, reproducibility, automated testing, modular design, and parallelization
• Experience in analyzing, processing, and enriching large datasets, ideally in a medical or clinical setting
• Understanding of the need to handle sensitive data responsibly and in compliance with existing standards, guidelines, and recommendations
• Experience with Linux in HPC environments
• A structured, meticulous, and team-oriented approach to work
• Language proficiency: German and English at least C1 level

What We Offer:

• On the basis of full-time employment (40 hours/week) the minimum salary in accordance with the collective agreement is € 3,450.30 gross per month (14 x per year, CA Job Grade: IVa)
• 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

The Johannes Kepler University wishes to increase the proportion of academic female faculty and, for this reason, especially welcomes applications by qualified women. If applicants are equally qualified, a woman will be given preference for this position. The university welcomes applications from qualified applicants with disabilities. These applications will be given special consideration.

Space for your future? We look forward to receiving your application via our job portal. For further information, please contact: OA Dr.med.univ. Thomas Tschoellitsch, P +43 732 2468 8680, E-mail: thomas.tschoellitsch@jku.at.