Scientific Data Platform Engineer (f/m/x)

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Universitätsklinikum Köln (AöR)
Munkavégzés helye

Hibrid

Munkaidő, foglalkoztatás jellege
- Alkalmazotti jogviszony
- Általános munkarend
Elvárt technológiák
- TESTING SECURITY CLOUD AZURE NETWORK DEVOPS SQL BI API BACKUP DOCKER ACCESS PYTHON R NOSQL FRONTEND
Elvárások
- Angol középfok
- 1-3 év tapasztalat
- Egyetem

Állás elmentve

A hirdetést eltávolítottuk a mentett állásai közül.

Responsibilities

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

Requirements

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

What we offer

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 o er 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 o ers a family-friendly and modern working environment, including flexible home-office hours

Company info

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 o er 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 o ers a family-friendly and modern working environment
We offer flexible office hours

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 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 focus on data-driven value creation and cooperative patient registries in healthcare. Within the consortium, the Data Integration Centre at the University Hospital Cologne (MeDIC-UKK) is responsible, in particular, for secure data exchange, data processing, data visualisation, and the development of innovative solutions for a stable integration infrastructure across clinical systems. The role encompasses a wide range of tasks – from analysing the clinical data ecosystem, developing an interface and reference architecture, piloting and securely operating the solution, to working with the Institute for Biomedical Informatics at the University of Cologne (BI-K), Department of Internal Medicine of the University Hospital of Cologne, and other stakeholders.