Scientific Data Platform Engineer (f/m/x)
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We are looking to support our rapidly growing team as soon as possible:
Scientific Data Platform Engineer (f/m/x)
Institute for Biomedical Informatics - BI-K
TV-L: 38,5 h/week (100%)
limited for 24 months according to WissZeitVG Third-party funded project
Your salary will be based on TV-L
TV-L: 38,5 h/week (100%)
limited for 24 months according to WissZeitVG Third-party funded project
Your salary will be based on TV-L
Your tasks
- 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
Your profile
- 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
Our offer
- 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
Your future with us
We are one of the leading university hospitals in Germany and network research, teaching and health care at the highest level. That's why many things are a lot bigger for us: the spectrum of exciting development opportunities. The limitless openness with which specialists from all over the world work together here. Or our commitment as an employer to support all employees as best we can in reconciling their job with their goals and life situations.
This is the University Hospital of Cologne: Everything but ordinary.
Your future in detail
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.
Applications from female candidates are expressly welcome and will be given priority in the event of equal suitability, competence and professional performance. People with disabilities are welcome to apply and will be treated preferentially in the event of equal suitability and qualification. The position is suitable for staffing with part-time employees.
Contact
Oliver Diekmeier
Universitätsklinikum Köln AöR
Geschäftsbereich Personal
Kerpener Str. 62
50937 Köln
Uniklinik Köln Karriere
Application deadline: 12.04.2026
Job-ID: c5x77lm7
apply now
We look forward to receiving your application and getting to know you!
Your tasks
- 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
Your profile
- 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
Our offer
- 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
Contact
Team Bewerbungsmanagement
Tel: 0221478-89088
Universitätsklinikum Köln AöR
Geschäftsbereich Personal
Kerpener Str. 62
50937 Köln
Uniklinik Köln Karriere