Data Engineer
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Job Location:
Nijmegen - Netherlands
Monthly Salary:
Not Disclosed
Posted on:
2 days ago
Vacancies:
1 Vacancy
Department:
Job Summary
In the fight against breast cancer every medical image is an opportunity: to unlock insight to uncover risk to embody health to empower life. ScreenPoints Transpara Breast AI delivers unmatched precision for breast radiologists and helps define personalized care pathways for every woman we serve. Make your mark as part of The Breast AI Company.
The role
To support our ambitions to expand towards multi-modality solutions and across different steps of the clinical care pathway data is our foundation. We are therefore looking for a Data Engineer to help build modernise and scale ScreenPoint Medicals data landscape.
In this role you will play a key part in overcoming legacy data challenges while enabling new product development innovation and clinical research initiatives. You will work closely with Engineering Innovation Clinical and Product teams to ensure that high-quality compliant and scalable medical imaging data is available where and when it matters.
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 ScreenPoints 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.
Job requirements
- Masters 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).
About us
ScreenPoint Medical is a leading company that develops and markets breast image analysis and cutting edge machine learning applications and services. Our product Transpara improves breast cancer survival rates by detecting cancers earlier so that treatment can be more effective and less invasive. Our product is developed with the highest quality standards and always backed with clinical evidence data.
Do you want to help us build innovative solutions to improve health worldwide And do you want to be part of an ambitious and fast-growing team that helps you develop your career further Please apply using the application button.
Providing a Certificate of Conduct (VOG) or background check is part of our application procedure. Questions about the contents of the vacancy or the recruitment process at ScreenPoint Medical Please send an email to
Required Experience:
Manager
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
