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

The Institute of Pathology / LaBooratory of Nephropathology is seeking a Data Scientist and Data Manager to advance research in digital pathology, focusing on managing and curating large-scale pathology image data and associated clinical and molecular data for biomedical and AI research.

• 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

• 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

• 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