University Hospital Giessen and Marburg GmbH
Professional experience
Commercial occupations (Other)

INNOVATIVE, FAMILY-FRIENDLY, CLOSER TO THE PATIENT:

The University Hospital of Giessen and Marburg (UKGM), with around 10,000 employees at its two locations in Giessen and Marburg, ensures the highest level of medical and nursing care for our 500,000 patients annually.

We are looking for a new team member for the Institute for Digital Medicine at our Marburg location, starting as soon as possible.

Scientific staff member as Data Scientist (m/f/d)

for a temporary full-time position .

The Data Scientist position is situated within an interdisciplinary team comprising physicians, healthcare professionals, computer scientists, data scientists, and researchers in health economics, law/data protection, and ethics. The overarching goal is the scientifically sound development, evaluation, and integration of digital and AI-supported applications into medical care processes.

We are looking for applicants with:

Completed university degree (Master's, Diploma or equivalent), e.g. in Data Science, Computer Science, Medical Informatics or a related quantitative field.
Solid knowledge of statistics, machine learning, and the methodologically sound evaluation of predictive models; proven experience in the analysis of medical data.
Excellent programming skills in Python and R and practical experience with relevant libraries and frameworks (e.g. pandas, NumPy, scikit-learn, XGBoost or LightGBM; knowledge of PyTorch or TensorFlow)
Knowledge of Explainable AI, especially SHAP, as well as in the visualization and comprehensible presentation of analysis results, e.g. with Matplotlib or Seaborn.
Experience with LLMs, RAGs, and the structured processing of medical guidelines; experience with API-based delivery of models or services, e.g., FastAPI.
Strong scientific approach, high quality awareness, and experience in producing reproducible analyses and scientific publications.
Excellent communication and teamwork skills in an interdisciplinary environment, as well as confident communication in German and English.

We offer you:

A scientifically demanding position at the interface of digital medicine, data science and clinical care with direct application relevance, with a clinical focus on digital emergency medicine and digital anesthesia.
Collaboration in an interdisciplinary team from medicine, health professions, computer science, health economics, law/data protection and ethics
Scope for design in the conception, methodological development and evaluation of digital and AI-supported applications for real medical care processes
The opportunity to contribute one's own scientific focus, publish results and participate in the further development of evidence-based digital medicine.
A diverse range of methods from statistics and classical machine learning to explainable AI, LLM- and RAG-based assistance systems, and the use of LLMs and RAGs for the structured processing of medical guidelines and the development of source-based clinical assistance systems.

The University Hospital Giessen and Marburg (UKGM) is certified as a family-friendly employer. A daycare center is located on the hospital grounds. Research staff at UKGM are employed by the state of Hesse. Therefore, remuneration is based on the TV-Hessen collective agreement. Applicants with disabilities will be given preference in accordance with applicable regulations if equally qualified. To increase the proportion of women in the scientific field, we strongly encourage qualified female scientists to apply. Please note that full-time positions are generally suitable for job sharing.
Upon commencing employment at UKGM, regardless of the work location, proof of sufficient immunization in accordance with Sections 20, 23, and 23a of the Infection Protection Act (IfSG) is required.

Ms. Hartmann will be happy to provide you with further information on the telephone number 06421/58-62589 .

Salary group: E13

Remuneration is based on the collective bargaining agreements TV Hessen:

Information on remuneration and allowances can be found at:

Please apply online by September 30, 2026!

WE LOOK FORWARD TO RECEIVING YOUR APPLICATION!

For your application, please use our online application portal at Applications received by email or post will be transferred to the applicant management page linked to the application portal (hosted by rexx systems GmbH). If you do not agree to this, please refrain from applying. Documents sent via the application portal will be securely deleted immediately after being transferred. Data in the application portal will also be deleted after the specified retention periods (see data protection policy).

Research Associate as Data Scientist (m/f/d) Marburg

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