Data Scientist/Computational Scientist – Multimodal and Multi-Agent AI for Precision Oncology (m/f/d)
Job Description
Heidelberg University Hospital is seeking a Data Scientist/Computational Scientist – Multimodal and Multi-Agent AI for Precision Oncology (m/f/d) to join the PROMETHEUS consortium, a four-year EIC Pathfinder project focused on developing a multimodal, explainable and multi-agent AI system for prostate cancer diagnosis and treatment selection.
The role involves developing an AI agent for treatment selection that integrates longitudinal clinical data, imaging, outcome prediction and knowledge-based reasoning. Responsibilities include multimodal data integration and preprocessing, machine-learning and predictive AI development, patient-trajectory modelling, recurrence and survival prediction, explainability and uncertainty estimation, validation across European cohorts, and scientific collaboration and communication.
Applicants should have a Master’s degree or PhD in Data Science, Bioinformatics, Computer Science, Computational Biology, Biostatistics, Medical Informatics, Mathematics, Physics, or a related discipline. Excellent Python and/or R programming skills and strong expertise in machine learning, deep learning and predictive modelling are required. Experience with multimodal or longitudinal datasets, multi-agent systems, explainable AI, survival analysis, medical imaging, or healthcare AI is relevant. The position is full-time and temporary through 30.09.2030.
Requirements
- 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
- Proactive, independent and scientifically motivated mindset
- Excellent communication and collaboration skills in an interdisciplinary international environment
- Experience in explainable AI, survival analysis, medical imaging or healthcare AI is an advantage
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