Scientific Data Platform Engineer (KHS-43366)

We are looking to support our rapidly growing team as soon as possible, * Analysis of the data ecosystem: assessment of data systems, interfaces and data quality; evaluation of security/privacy and interoperability (data-level to user-level)

• Data & interface architecture: Collaboration on the blueprint for the clinical Nephrology data ecosystem (data flows, API specifications, data models, interoperability standards)
• Development and integration of novel AI solutions in the data integration pipelines, designing test and production environments, and Software deployment
• Pilot operation & platform reliability: Operation, testing, monitoring and fine-tuning of data processing modules/pipelines, including retraining/optimization of AI components, log/performance analyses, compliance with all security/privacy requirements, completion with a security check and backup and recovery
• DevOps/automation: CI/CD for data pipelines and services, observability (metrics/tracing), incident handling, service request management and continuous Docker hardening
• Collaboration with clinical teams at UKK and associated stakeholders such as external partners developing products
• Clinical data integration & interoperability: Operation of robust data flows between hospital information systems, review and fine-tuning of HL7®/FHIR® -based pipelines, pseudonymization and consent management
• Science & transfer: Contribution to documentation, scientific publications and lessons learned from the pilot project
• Networking within the national Medical Informatics Initiative Network

• Education: Master's degree (or equivalent) in Biomedical Informatics, Data Science, Computer Science, or a related field
• Technical skills:

• Hands-on experience in data engineering (ETL/ELT, APIs, microservices), interoperability (HL7®/FHIR®), data quality, and data modeling
• Security & privacy by design in clinical IT (e.g., IAM/role-based access, logging/auditing, pseudonymization, consent workflows)
• Solid Python (and R) skills; experience with SQL/NoSQL; container/orchestration know-how is a plus
• Hands-on experience on Deployment and Operations

• Research skills: Analytical mindset, familiarity with FAIR principles, motivation to publish and present results
• Communication skills: Ability to collaborate across disciplines with clinicians, visualize and present data to researchers and IT experts from the industry
• Nice-to-haves: Experience with MLOps/model serving, observability stacks, cloud/hybrid infrastructure (e.g., Azure), frontend prototyping/dashboards
• Working style: Structured, quality- and security-oriented; motivated to collaborate closely with clinical care, research, and industry. Documentation of architecture and operations processes including building a knowledge base.

* Real clinical impact: You bring modern data and AI solutions into real workflows - validated at two leading MII-Centers (University Hospital of Cologne, Hamburg and Münster) * DIZ tooling & real-world data access: Work with established DIZ services (HL7/FHIR, pipelines, pseudonymization/consent) in a real care setting * A varied role: From ecosystem analysis and architecture to secure pilot operations - with clear work packages and measurable outcomes * Team & development: Interdisciplinary environment with MeDIC-UKK, BI-K, UKK, UKE, UKM and other clinical partners; opportunities for publications and conference contributions within the project context * We offer an excellent technical infrastructure (medical data integration center) and clinical collaborations to work with real-world healthcare data * We promote your professional career development, with the opportunity to take part in national as well as European-wide academic, research and industry consortia * Our institute promotes diversity and offers a family-friendly and modern working environment, including flexible home-office hours Your future with us * As part of the Data Integration Center, you will shape the secure, interoperable data foundation on which the PodoSign is built - thereby directly contributing to the digital transformation of medicine. * We offer an excellent technical infrastructure (medical data integration center) and clinical collaborations to work with real-world healthcare data * We promote your professional career development, with the opportunity to take part in national as well as European-wide academic, research and industry consortia * We guide you to acquire your own research projects and lead a team of junior developers and researchers * Our institute promotes diversity and offers a family-friendly and modern working environment * We offer flexible office hours