Universitätsklinikum Köln (AöR)
limited for 24 months according to WissZeitVG
Third-party funded project
Your salary will be based on TV-L
Your future in detail
The Institute for Biomedical Informatics (BI-K), in collaboration with the Medical Data Integration Center (MeDIC), provides an excellent setting to develop and apply a data-driven medicine agenda. In this position, you will gain experience as part of a medical care setting and apply novel ideas in an agile and innovative environment.
You will:
- Be involved in innovative, interdisciplinary research projects addressing key challenges in the biomedical field
- Have the opportunity to work closely with outstanding experts in medicine and computer science, utilising medical data in a realworld health setting
- Collaborate with clinics to develop and implement strategies that enhance data-driven decision-making in their daily practice and research
We support further career development and provide personalised mentoring.
Your tasks
- Design, evaluate, and scientifically analyze end-to-end solution architectures for medical data integration platforms, generating insights into their performance, scalability, and interoperability in medical domain
- Investigate and optimize development and deployment processes, including automation, CI/CD pipelines, and DevOps practices, to systematically study efficiency improvements and reproducibility in clinical IT workflows
- Conduct interdisciplinary research in collaboration with software developers, data engineers, data stewards, clinicians, and researchers, analyzing domain-specific requirements and translating them into innovative IT solutions
- Define, evaluate, and advance best practices for software architecture, data flows, and system design, systematically assessing their effectiveness in clinical environment
- Research, evaluate, and integrate emerging technologies for data ingestion, transformation, storage, and access (e.g., FHIR, HL7, DICOM), studying their applicability, efficiency, and interoperability in medical research contexts
- Investigate system reliability, scalability, and regulatory compliance, including GDPR and ISO frameworks, and develop scientifically grounded guidelines for secure medical research data management
- Lead methodologically structured technical reviews and mentor team members, promoting research-based solution design and deployment strategies
- Create and maintain scientific documentation, standards, and guidelines to ensure reproducibility, traceability, and the dissemination of IT software solutions
- Publish research findings in international scientific journals and present results at scientific conferences, contributing to the global body of knowledge in medical informatics
Your profile
- Master’s degree in Computer Science, Engineering, Information Systems, or related field.
- Proven minimum of three years of experience as a Solution Architect, preferably in healthcare, data integration, or cloud environments
- Understanding of interoperability standards (FHIR, HL7, DICOM) and data governance principles is preferable
- Hands-on experience with DevOps tools (GitLab CI/CD, Docker, etc.)
- Solid experience with distributed systems, APIs, databases, and microservices
- Strong programming skills in at least one programming language (e.g., Python, Java, or C#) and experience with microservices, API-based system design, and eventdriven architectures
- Skilled in ETL/ELT frameworks and orchestration tools, data modelling and harmonisation, and experienced with relational and analytical database technologies
- Understanding of containerization technologies
- Good knowledge of monitoring and logging tools such as Prometheus, Grafana, and the ELK stack
- Experience with Linux-based systems administration
- Expertise in designing secure, scalable, and modular architectures
- Excellent communication and documentation skills, with the ability to bridge the gap between technical and nontechnical stakeholders
- Ability to translate business requirements into technical terms and communicate complex technical contexts in an understandable way
- Enjoying agile collaboration in cross-functional teams and having a team player mentality
Our offer
- Opportunity to make a tangible impact on healthcare data innovation
- Excellent technical infrastructure and clinical collaborations to work with real-world healthcare data
- Collaborative, interdisciplinary work environment
- Flexible working hours and hybrid options
- Professional growth and training opportunities
- Support in progressing your academic career or in innovation activities, such as start-ups
- Our institute promotes diversity and offers a family friendly and modern working environment
Applications from female candidates are expressly welcome and will be given priority in the event of equal suitability, competence and professional performance. People with disabilities are welcome to apply and will be treated preferentially in the event of equal suitability and qualification. The position is suitable for staffing with part-time employees.
Contact
Nicola Dahlberg
Tel.: +49 221 478-82912
Application deadline: 08.03.2026
Job-ID: 6vyfpb82
Universitätsklinikum Köln AöR
Geschäftsbereich Personal
Kerpener Straße 62
50937 Köln