Scientific Employee (all genders) in Scientific Computing and Research infrastructure

Join the Institute of Medical Systems Bioinformatics (www.ims.bio) and the bAIome Center for Biomedical AI (www.baiome.org) and become part of our dynamic, international, and interdisciplinary team working at the interface of bioinformatics, artificial intelligence, biomedical research, and clinical application.

Our research is based on the analysis of large and complex biomedical datasets, including omics, imaging, spatial, and clinical data. Modern AI-based and data-intensive analysis approaches place high demands on compute, storage, and software infrastructure. A powerful, reliable, and flexible scientific IT infrastructure therefore forms an essential foundation for our research.

In this position, you will work together with our scientists to shape and further develop the technical infrastructure required for modern biomedical research. The focus is on Scientific Computing as well as the design, provision, and maintenance of compute, cluster, storage, and workstation systems.

Your tasks:

• Design, setup, operation, and further development of our scientific Linux-based CPU and GPU compute infrastructure in Kubernetes
• Administration, monitoring, and optimization of compute clusters, including user and resource management, performance analysis, maintenance, automation, backup, and troubleshooting
• Advising researchers on the technical implementation of compute- and data-intensive research projects
• Implementation of IT security, data protection, and research data management requirements in cooperation with the responsible UKE departments
• Planning and technical specification of new infrastructure components as well as selection and procurement of servers, GPU systems, storage, network, and cluster components
• Administration and lifecycle management of scientific workstations and high-performance analysis workstations
• Documentation of systems, processes, and technical standards as well as further development of best practices for our scientific infrastructure

This position is temporary for 2 years due to third-party funding.

• Master’s degree in Computer Science, Bioinformatics, Medical Informatics, Data Science, Computational Science, or a related field, or an equivalent qualification and relevant professional experience
• Very good knowledge of Linux and practical experience in system administration
• Strong hands-on experience with Docker and Kubernetes
• Experience in the administration of compute, HPC, or GPU clusters
• Good knowledge of modern server, storage, and network architectures
• Experience with monitoring solutions such as Prometheus, Grafana, or Zabbix, automation tools such as n8n, and the reliable provision of IT and compute services
• Experience in the administration and support of scientific workstations and laptops running Windows, Linux, and macOS
• Good understanding of current hardware architectures and an interest in the planning, selection, and procurement of compute and storage systems
• Ability to understand requirements arising from scientific projects and translate them into robust technical solutions
• Structured, independent, and solution-oriented way of working
• Strong communication skills and enthusiasm for collaborating with bioinformaticians, machine-learning researchers, biologists, clinicians, and technical teams
• Very good command of English and good knowledge of German

Experience in one or more of the following areas would be an advantage:

• Large-scale storage systems and scientific data management
• Identity and access management
• Backup, archiving, and disaster recovery concepts
• IT security and data protection when working with biomedical or clinical research data
• IT environments of a university hospital or comparable medical research institution

• Work with modern scientific compute and data infrastructure that directly supports current biomedical and AI-based research projects
• The opportunity to actively shape the future technical infrastructure of the institute
• A diverse range of responsibilities, from Scientific Computing and infrastructure development to hardware planning and technical project implementation
• Close collaboration with research groups and central IT departments across the UKE
• Fair and transparent compensation in accordance with our collective bargaining agreement (TVöD/VKA) (€ 63,600 – € 91,100), taking into account qualifications and professional experience. The salary range applies to a full-time position of 38.5 hours per week. The amounts listed are guidelines and do not constitute a salary guarantee.
• Targeted and individualized professional development at both the technical and project levels is provided, offering long-term prospects in a meaningful work environment
• Comprehensive continuing education and training programs at our UKE Academy for Education and Career
• Opportunities to help shape our “UKE INside” personnel policy through cross-functional and cross-hierarchical projects
• Sustainable commuting: Subsidies for the Deutschlandticket as a job ticket and Dr. Bike bicycle service
• Excellent health, prevention, and sports programs
• Family-friendly work environment: Partnerships for childcare, free vacation care, counseling for employees with family members requiring care
• A secure job, meaningful work, and a supportive team environment
• Structured onboarding and open knowledge sharing within the team
• Our employee restaurant offers a wide variety of culinary options; additional options are available at the “Health Kitchen” cafés and bistros and at a supermarket located directly on the premises

We live diversity and value variety

We offer a work environment that provides equal opportunities regardless of age, gender, sexual identity, disability, ethnic and social origin, or religion. This is confirmed by our accession to the Charter of Diversity. We explicitly aim to increase the proportion of women in management positions, especially among scientific personnel in research and teaching. Women with equal qualifications will be given priority. The same applies in the case of under-representation of one gender in the advertised area. Persons with severe disabilities with equal aptitude, competence, and professional performance will be given priority.

> Learn more about "Diversity at UKE" here.