Scientific Data Platform Engineer (f/m/x)

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

Scientific Data Platform Engineer (f/m/x)

Biomedizinische Informatik

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

Your salary will be based on TV-L EG 13

Your tasks

Your future with us

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:

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 familyfriendly and modern working environment We offer flexible office hours

Your future in detail

This position is embedded in the joint research project SFB TRR422 and contributes to implementing the DFG funding guideline “Podocyte Signalling Networks: From Basic Concepts to Disease Understanding” - with a

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

Your profile

Education: Masters 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, motivatio