Scientific Data Platform Engineer (fmx)
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1 Vacancy
Job Summary
Scientific Data Platform Engineer (f/m/x)
Institute for Biomedical Informatics - BI-K
TV-L: 385 h/week (100%)limited for24 months according to WissZeitVG Third-party funded project
Your salary will be based on TV-L
TV-L: 385 h/week (100%)limited for24 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:
Masters 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 Europes 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. Thats 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 () 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.
Contact
Oliver Diekmeier
Universitätsklinikum Köln AöRGeschäftsbereich Personal
Kerpener Str. 62
50937 Köln
Application deadline: 12.04.2026
Job-ID: c5x77lm7
We look forward to receiving your application and getting to know you!Required Experience:
IC
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
Zur Unterstützung unseres stark wachsenden Teams suchen wir zum nächstmöglichen Zeitpunkt:
