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

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

3.33.3 von 5 Sternen

Hamburg

63.600 € – 91.100 € pro Jahr - Teilzeit, Vollzeit, Befristeter Vertrag

Link: (CompanyWebsite)

Mitarbeiteranzahl: mehr als 10.000 (CompanyEmployee)

Umsatz: 425 Mio. bis 850 Mio. (EUR) (CompanyRevenue)

Branche: Gesundheitswesen (CompanyIndustry)

Stellenbeschreibung

Gehalt

63.600 € – 91.100 € pro Jahr

Anstellungsart

Befristeter Vertrag

Teilzeit

Vollzeit

Arbeitsort

Hamburg

Leistungen

Aus der vollständigen Stellenbeschreibung

Jobticket

Kostenfreies oder vergünstigtes Deutschland-Ticket

Vollständige Stellenbeschreibung

Better together. For life.

At the University Medical Center Hamburg-Eppendorf (UKE), we are committed to excellence in research, education, and comprehensive healthcare across our clinics. Every day, our team of approximately 17,000 dedicated employees works to make the world a healthier place. Our goal is to be one of the leading university hospitals while also being the best employer in our industry.

At UKE, we believe that meaningful and successful work should align with our employees personal needs and individual lifestyles. Just as diverse as these needs are, so too is the variety of personalized solutions we offer.

Welcome to the UKE.

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

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Job-ID: J000006929

Contract Type: Temporary

Employment Type: Full time/ Part time

Closing Date: 21.09.2026

Organization: UKE_Zentrum für Molekulare Neurobiologie (ZMNH)

Category: Research & Science

Department: Institut für Medizinische Systembioinformatik

Main tasks

Join the Institute of Medical Systems Bioinformatics ( and the bAIome Center for Biomedical AI ( 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