# Data Engineer - Medical Imaging
ScreenPoint Medical is seeking a Data Engineer to support expansion towards multi-modality solutions and across different steps of the clinical care pathway. You will play a key part in overcoming legacy data challenges while enabling new product development, innovation, and clinical research initiatives.
## Key Responsibilities
- Design, develop, and maintain scalable data pipelines and infrastructure for medical imaging and related clinical data
- Support the end-to-end data lifecycle, including acquisition, transfer, annotation, quality assurance, versioning, and archival of large-scale datasets from global partners
- Improve and modernise existing (legacy) datasets to ensure consistency, traceability, and usability
- Ensure secure, compliant, and auditable handling of data in line with regulatory requirements and ScreenPoint's Quality Management System
- Build and maintain tooling for data storage, visualisation, labelling, and accessibility
- Support product development, AI training, validation, and clinical studies with reliable and well-curated datasets
- Maintain contacts with external parties during data acquisition projects
## Requirements
- Master's or PhD degree in Data Science, Computer Science, Physics, Engineering, or a related technical field
- Experience working with complex, large-scale medical or clinical datasets
- Strong knowledge of medical imaging data and standards (e.g. DICOM)
- Solid experience with Linux-based environments
- Strong programming and scripting skills (e.g. Python, Bash)
- Experience with databases, data modelling, and SQL
- Familiarity with AI/ML development workflows and clinical research environments is a strong plus
- A hands-on, meticulous and proactive mindset with a strong sense of ownership
## Preferred Qualifications
- Experience working in regulated healthcare environments
- Familiarity with data privacy and medical device regulations (e.g. GDPR, MDR, FDA)
- Experience supporting multi-modal imaging data (e.g. mammography, tomosynthesis, MRI)