진학프로석·박사 채용 접수 플랫폼

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 25,500 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 (f/m/d) must hold a Doctorate/Ph.D. degree for a full-time, permanent position

Organizational unit:

University Clinic for Haematology and Internal Oncology

Entry date:

as soon as possible

Job Reference Number:

61080-2025-001527

The University Clinic for Internal Medicine 3 – Hematology and Internal Oncology is looking for a dedicated data scientist with international research experience to support the establishment of the planned Comprehensive Cancer Center Linz (CCCL) and to participate in the implementation of research projects in the field of tumor medicine. The tasks include the management of large amounts of clinical and preclinical data, their harmonization and transfer for intra- and extramural collaborations, the processing and evaluation of high-dimensional (including spatial multiplex single-cell) multi-omics data from personalized molecular profiling, machine learning-supported algorithm development for image analysis from molecular biology and clinical imaging, co-development of AI-supported FHIR/mCODE-based clinical decision support systems for next-generation tumor boards, Proximity/propensity analyses for the progressive establishment of “digital twin” databases, as well as the creation and expansion of integrative network structures between clinics, translational research, and biobanking.

Job Duties:

• Independent supervision of research projects, including planning, methodological implementation, documentation, analysis, and interpretation of experimental approaches in the field of tumor medicine
• Development of an independent research profile
• Development of new interdisciplinary research fields in collaborative projects with partners in the field of tumor research
• Data management (including support for various data capture tools, e.g., REDCap)
• Compilation, interpretation, and presentation of collected data and key figures (including documentation, statistical analysis, visualization, evaluation planning, etc.)
• Supporting laboratory organization and maintenance
• Developing new methods
• Participating in teaching
• Supervising doctoral students in the field of research and their research projects, as well as supervising bachelor's and master's theses
• Participating in infrastructural and organizational tasks of the planned CCCL

Your Qualifications:

• The successful candidate must hold a completed Doctoral/Ph.D. degree in natural sciences, medicine, computer science, or related subjects
• Interest in independent research or the development of methods and procedures
• High level of motivation in the field of research and in establishing an independent research profile
• Experience in the analysis and enrichment of large data sets in the medical field (such as computer vision, NLP, or deep learning skills)
• Qualification in clean code and modern software engineering skills, Python, and/or R skills
• High degree of commitment, flexibility, and resilience
• Independent, structured way of working and ability to work in a team
• Very good German and English skills (German level C1, English level B2)

What We Offer:

• On the basis of full-time employment (40 hours/week) the minimum salary in accordance with the collective agreement is € 4,932.90 gross per month (14 x per year, CA Job Grade: B1)
• Stable employer
• Attractive campus environment with good public transportation connections
• Attractive continual educational opportunities
• State-of-the-art research infrastructure
• Dynamic research environment
• Exercise and sports classes (USI)
• …and much more

Application Deadline:

09/03/2025

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.

Contact:

For further information, please contact Prof. Clemens Schmitt, clemens.schmitt@kepleruniklinikum.at.

Exertion place address

Krankenhausstraße 9, 4020 Linz