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Data Engineer

Screenpointmedical · Nijmegen, Gelderland, 6525 EC, Netherlands · Active · BambooHR

Job facts

FieldValue
CompanyScreenpointmedical
TitleData Engineer
Normalized title-
Department / teamInnovation & Clinical Strategy
LocationNijmegen, Gelderland
Work model-
Employment typeFull Time
Salary-
Statusactive
ATS providerBambooHR
Posted / first seen2026-02-02 / 2026-05-30
Changed / last seen2026-05-30 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Screenpointmedical.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through BambooHR.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Nijmegen.Open
Department jobsActive postings in Innovation & Clinical Strategy.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyScreenpointmedical
Sourcea5dd0984-e255-49f5-ad3d-f311226945be
ATS providerBambooHR

Description

In the fight against breast cancer, every medical image is an opportunity: to unlock insight, to uncover risk, to embody health, to empower life. ScreenPoint’s 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 Medical’s 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 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. Job 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). 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 [email protected].

Full job record

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Org IDec7d6920-d742-443b-b697-9240dd4c715e
Source IDa5dd0984-e255-49f5-ad3d-f311226945be
Board IDa5dd0984-e255-49f5-ad3d-f311226945be
Providerbamboohr
Provider Job Key87
TitleData Engineer
Normalized Title
Statusactive
Activeyes
Location TextNijmegen, Gelderland, 6525 EC, Netherlands
DepartmentInnovation & Clinical Strategy
Team
Employment Typefull_time
Workplace Type
Remote Policy
Country
RegionGelderland
CityNijmegen
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://screenpointmedical.bamboohr.com/careers/87
Apply URLhttps://screenpointmedical.bamboohr.com/careers/87
First Seen At2026-05-30 06:00:34Z
Last Seen At2026-06-06 10:28:13Z
Last Checked At2026-06-06 10:28:13Z
Last Changed At2026-05-30 06:00:34Z
Inactive At
Source Posted At2026-02-02 00:00:00Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=screenpointmedical/date=2026-06-06/2026-06-06T10-28-11-397Z-c61a9e007beb775c634dba4b6bd1f9748b3927d40f0a0c59436478b4a7632a4c.json
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Parsed Structured
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Extensions
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    "description": "<p><span>In the fight against breast cancer, every medical image is an opportunity: to unlock insight, to uncover risk, to embody health, to empower life. ScreenPoint’s 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.</span></p>\n<p><br></p>\n<p><span style=\"font-weight: bold\"><span>The role</span></span></p>\n<p><span>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 Medical’s data landscape.</span></p>\n<p><span>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.</span></p>\n<p><br></p>\n<p><span style=\"font-weight: bold\"><span>Key responsibilities</span></span></p>\n<ul>\n<li><span>Design, develop, and maintain scalable data pipelines and infrastructure for medical imaging and related clinical data.</span></li>\n<li><span>Support the end-to-end data lifecycle, including acquisition, transfer, annotation, quality assurance, versioning, and archival of large-scale datasets from global partners.</span></li>\n<li><span>Improve and modernise existing (legacy) datasets to ensure consistency, traceability, and usability.</span></li>\n<li><span>Ensure secure, compliant, and auditable handling of data in line with regulatory requirements and ScreenPoint’s Quality Management System.</span></li>\n<li><span>Build and maintain tooling for data storage, visualisation, labelling, and accessibility.</span></li>\n<li><span>Support product development, AI training, validation, and clinical studies with reliable and well-curated datasets.</span></li>\n<li>Maintain contacts with external parties during data acquisition projects.</li>\n</ul>\n<p><br></p>\n<p><span style=\"font-weight: bold\"><span>Job requirements</span></span></p>\n<ul>\n<li><span>Master’s or PhD degree in Data Science, Computer Science, Physics, Engineering, or a related technical field.</span></li>\n<li><span>Experience working with complex, large-scale medical or clinical datasets.</span></li>\n<li><span>Strong knowledge of medical imaging data and standards (e.g. DICOM).</span></li>\n<li><span>Solid experience with Linux-based environments.</span></li>\n<li><span>Strong programming and scripting skills (e.g. Python, Bash).</span></li>\n<li><span>Experience with databases, data modelling, and SQL.</span></li>\n<li><span>Familiarity with AI/ML development workflows and clinical research environments is a strong plus.</span></li>\n<li><span>A hands-on, meticulous and proactive mindset with a strong sense of ownership.</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-weight: bold\"><span>Preferred qualifications</span></span></p>\n<ul>\n<li><span>Experience working in regulated healthcare environments.</span></li>\n<li><span>Familiarity with data privacy and medical device regulations (e.g. GDPR, MDR, FDA).</span></li>\n<li><span>Experience supporting multi-modal imaging data (e.g. mammography, tomosynthesis, MRI).</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-weight: bold\"><span>About us</span></span></p>\n<p><span>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.</span></p>\n<p><br></p>\n<p><span>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.</span></p>\n<p><span> </span></p>\n<p><em><span>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 [email protected].</span></em></p>",
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