Job
- Level
- Experienced
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Gießen
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop and evaluate digital applications in medical care, analyze medical data using statistics and machine learning, and work on integrating innovative AI solutions within an interdisciplinary team.
Job Technologies
Your role in the team
- The position of Data Scientist is part of an interdisciplinary team consisting of physicians, healthcare professionals, IT specialists, Data Scientists, as well as researchers from health economics, law/data protection, and ethics.
- The overarching goal is the scientifically based development, evaluation, and integration of digital and AI-supported applications into medical care processes.
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Our expectations of you
Education
- Completed university degree (Master's, Diplom, or equivalent), e.g., in Data Science, Computer Science, Medical Informatics, or a related quantitative field.
Qualifications
- Knowledge of Explainable AI, particularly SHAP, as well as visualization and interpretable presentation of analysis results, e.g., with Matplotlib or Seaborn.
- Excellent communication and teamwork skills in an interdisciplinary environment, as well as confident communication in German and English.
Experience
- In-depth knowledge of statistics, machine learning, and rigorous evaluation of predictive models; proven experience in medical data analysis.
- Excellent programming skills in Python and R, along with practical experience with relevant libraries and frameworks (e.g., pandas, NumPy, scikit-learn, XGBoost or LightGBM; knowledge of PyTorch or TensorFlow).
- Experience with LLMs, RAG, and structured processing of medical guidelines; experience with API-based deployment of models or services, e.g., FastAPI.
- Strong scientific working methodology, high quality awareness, and experience in producing reproducible analyses and scientific publications.
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What we offer
- A scientifically demanding role at the intersection of Digital Medicine, Data Science, and clinical care with immediate practical relevance, focusing on Digital Emergency Department and Digital Anesthesia.
- Collaboration within an interdisciplinary team consisting of medicine, health professions, computer science, health economics, law/data protection, and ethics.
- Freedom of design in the conception, methodological development, and evaluation of digital and AI-supported applications for real medical care processes.
- The opportunity to contribute your own scientific focus areas, publish results, and participate in the further development of evidence-based digital medicine.
- A versatile range of methods from statistics and classical machine learning to explainable AI, as well as LLM- and RAG-based assistance systems, and the use of LLMs and RAG for structured processing of medical guidelines and the development of source-based clinical decision support systems.
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Topics You Will Work On
Job Locations
About Your Employer
RHÖN-KLINIKUM Aktiengesellschaft
RHÖN-KLINIKUM Aktiengesellschaft, based in Bad Neustadt an der Saale, is one of the leading hospital operators in Germany and is publicly traded. The company offers a variety of healthcare services, including inpatient, partial inpatient, and outpatient treatments, focusing on integrated care in collaboration with universities and research institutions.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Healthcare, Social Sector
Research Associate as Data Scientist
- Location
- Gießen
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
