Scientific Data Platform Engineer (f​/m​/x

We are looking to support our rapidly growing team as soon as possible:

TV-L: 38,5 h/week (100%)

Initially limited for 2 years with the possibility of extension according to WissZeitVG within the framework of a third‑party funded project.

Salary will be based on TV‑L EG 13.

• 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.
• Dev Ops/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 modelling.
  • 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/No
    
    SQL; container/orchestration know‑how is a plus.
  • Hands‑on experience in 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, visualise 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.

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, pseudonymisation/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 centre) 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.

• As part of the…