The Institute of Pathology / LaBooratory of Nephropathology is seeking a

Data Scientist / Data Manager (f/m/d) - in Digital Pathology

Operational area: Institute of Pathology / LaBooratory of Nephropathology

Working hours: 100% of the collectively agreed full-time working hours (currently 38.5 hours per week)

Duration/Term of employment: Initially limited to 1 year with option of prolongation until the completion of the doctoral degree

Start date: As soon as possible

Remuneration/Rates: EG 13 (TV-L)

We are an interdisciplinary and international team of scientists and clinicians working on medical applications and projects, embedded directly within the Institute of Pathology.

Our team has a long-standing focus and expertise in developing novel methods for digital pathology, advanced image analysis and deep learning, including a novel omics approach, the next-generation morphometry and pathomics. We also put a strong focus on sustainable AI (green/energy-efficient AI), and secure and explainable AI.

Our hardware equipment comprises high-end computational infrastructure, with several GPU (NVIDIA DGX A100) and CPU clusters and storage systems. We have a unique and continuously growing collection of both preclinical data sets and large, international, multi-center data sets from patients.

Description and essential criteria

• Development and management of large-scale, multicentric pathology image datasets and associated clinical and omics data
• Curation, preprocessing, and quality control of pathology image data and metadata
• Ensuring data quality, documentation, and compliance with FAIR data principles
• Ensuring compliance with legal, ethical, and data protection regulations
• Collaboration with IT services and AI researchers in the administration of data storage systems and GPU computing infrastructure
• Development of novel approaches for pathology data management and integration into national research infrastructures

Your profile

We are looking for a data scientist and data manager to advance our research in digital pathology: A highly motivated and reliable person with the technical and organisational skills to apply existing and develop novel approaches to manage and curate large-scale pathology image data and associated clinical and molecular data both from clinical and preclinical sources used in biomedical and AI research.

• Master’s degree, PhD, or equivalent qualification in computer science, data science, biomedical informatics, engineering, or a related field
• Experience in research data management, preferably involving clinical data
• Knowledge of Linux systems, file systems, and databases
• Familiarity with data protection regulations and Good Clinical Practice (GCP)
• Programming skills and experience with image processing are advantageous
• Experience in system administration is a plus
• Excellent communication and teamwork skills in interdisciplinary environments
• Very good command of English (C1/C2 level or equivalent)
• Structured, reliable, and independent working style
• Strong interest in biomedical and AI-driven research

Why you should choose us?

We offer…

• 30 days of vacation per year for full-time employment
• A bonus of 3,000 euros for employees who help recruit employees in different sectors
• An attractive company pension scheme from VBL
• Education opportunities, including updating and upgrading
• Access to public transport
• In-house kindergarten (places subject to availability)
• Staff residences (places subject to availability and by arrangement)
• An onboarding app for new employees
• Extended opening hours in the staff restaurant

Application:

The application deadline for the advertised position GB-P-55712 is July 10, 2026.

University Hospital of the RWTH Aachen, Institute of Pathology -LaBooratory of Nephropathology/AG Boor & AG Bülow, Pauwelsstr. 30, 52074 Aachen.

Contact:

If you have any questions, please contact Univ.-Prof. Dr. med. Peter Boor PhD.

E-Mail: pboor@ukaachen.de

We look forward to receive your application.

This job advertisement is aimed at all genders.

The RWTH Aachen University Hospital promotes equal opportunity and diversity. Applications from women are expressly sought and, in accordance with relevant laws, will be treated preferentially.

We welcome applications from people with disabilities and they will be given priority if they are equally suitable.

Employment at a fraction less than the weekly full-time working hours stated above is generally possible.

It is preferable to use our digital application portal at www.karriere.ukaachen.de to apply. The portal allows you to upload your documents to an electronic application folder, which is protected from unauthorized access. Applications received by email are transferred to our application portal and then deleted in accordance with data protection regulations. (Transmission by email is usually inadequately protected.) If you do not agree to the transfer of your data to our portal, we unfortunately cannot consider your application. The data in the portal will be deleted after the retention period has expired.

This job advertisement was created using an AI-supported system. Final content review and responsibility lie with the Universitätsklinikum Aachen.