• Contribute across the full stack – from data ingestion and backend services to analytics integration and user-facing dashboards
• Design, implement, and maintain a clinical data platform that integrates multimodal data (EHRs, lab, imaging, genomics) into a single interoperable environment
• Build ETL pipelines, APIs, and microservices that enable seamless and secure data exchange between clinical and research systems
• Develop and deploy machine learning and AI-driven tools to support clinical decision-making, anomaly detection, and workflow optimization
• Translate cutting-edge AI & analytics innovations into usable prototypes for real-world clinical settings – ensuring usability, robustness, and compliance
• Collaborate with clinicians, data scientists, and engineers to validate new data-driven solutions in practice (e.g., predictive models, visual analytics, generative AI for patient summaries)
• Contribute to scientific publications, open-source
  components, and conference presentations

• Education:
  Master’s degree (or equivalent) in Biomedical Informatics, Data Science, Computer Science, or related field

Technical skills:

• Proven experience with data engineering and backend development (Databricks, Spark, Azure, Kubernetes, SQL/NoSQL)
• Proficiency in Python (plus R, JavaScript/TypeScript, or Java is a plus)
• Hands-on experience with machine learning, AI, or analytics frameworks (e.g., scikit-learn, PyTorch, TensorFlow)
• Interest in developing front-end prototypes and dashboards (e.g., React, Plotly, Streamlit) to make data insights accessible for clinicians
• Research skills: Strong analytical mindset, familiarity with FAIR principles, and enthusiasm for publishing and presenting results
• Communication skills: Ability to work across disciplines with clinicians, researchers, and IT experts

• A unique full-stack role: work from data pipelines to AI deployment and visualization – no silos between engineering and data science
• Opportunity to bring cutting-edge AI and analytics into clinical workflows, directly impacting healthcare delivery.
• Excellent technical infrastructure, access to real-world clinical data, and collaboration with Europe’s leading clinicians and researchers
• Support for PhD studies, publications, and international conference participation
• A diverse, family-friendly, and modern working
  environment with flexible hours and home office options

This position is part of the DICE-CD project (Data Innovations in Collaborative Ecosystems for Clinical Domains) – a nationally funded initiative under the BMFTR program DigiNutzenDat. The project aims to develop a modular, interoperable data ecosystem for healthcare that enables end-to-end integration of clinical data and supports advanced analytics and AI applications in real-world care.
DICE-CD brings together a unique consortium of leading partners:
University Hospital Cologne (BI-K, MeDIC), Charité Berlin, national research institutes, technology providers, and industry start-ups. The collaboration ensures direct clinical validation (e.g., in rare disease pathways such as ADPKD) and creates a reference architecture that can be scaled across domains. By joining, you will contribute to a project with high societal impact – shaping the digital transformation of healthcare in Germany and beyond.