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# Data Scientist/Computational Scientist - Multimodal and Multi-Agent AI for Precision Oncology

- **Company:** Universitätsklinikum Heidelberg
- **Location:** Heidelberg, Germany
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Bioinformatics, Health Informatics, Clinical Data Repository, Computational Biology, Computer Programming, Data Integration, Python (Programming Language), Machine Learning, Prometheus, Multi-Agent Systems, Deep Learning, Model Validation, Information Technology
- **Published:** September 7, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=f9c4cfd37125bc0f

## About the Role

* Master's degree or PhD in Data Science, Bioinformatics, Computer Science, Computational Biology, Biostatistics, Medical Informatics, Mathematics, Physics, or a related discipline
 * Excellent programming skills in Python and/or R
 * Strong expertise in machine learning, deep learning and predictive modelling
 * Experience working with multimodal, longitudinal or high-dimensional datasets
 * Interest in or experience with multi-agent systems, agent orchestration, transformers, multimodal fusion, knowledge-grounded AI or clinical decision support systems
 * Sound understanding of model validation, calibration and reproducible research practices
 * Experience in explainable AI, survival analysis, medical imaging or healthcare AI is considered an advantage
 * A proactive, independent and scientifically motivated mindset combined with excellent communication and collaboration skills in an interdisciplinary international environment

## Description

* Multimodal data integration and preprocessing: Harmonize and integrate longitudinal clinical data, imaging, pathology and outcome data
 * Multi-agent and predictive AI development: Develop machine-learning components for patient-trajectory modelling, recurrence and survival prediction, and integrate them into the PROMETHEUS multi-agent
 * Agent interaction, explainability and uncertainty: Contribute to architectures that combine specialized AI components, knowledge-based reasoning and clinically interpretable outputs; implement uncertainty estimation and human-in-the-loop mechanisms
 * Validation and clinical translation: Perform internal and external validation, benchmark against established risk models and assess clinical utility across European cohorts
 * Scientific communication and collaboration: Contribute to high-impact publications, presentations and close collaboration with clinicians, imaging experts and AI researchers in Heidelberg and across the European consortium


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