INTERNSHIP DETAILS

Product Data Analytics Internship

CompanyScreenPoint Medical
LocationNijmegen
Work ModeOn Site
PostedNovember 6, 2026
Internship Information
Core Responsibilities
You will analyze AI performance in clinical settings and evaluate product usage patterns to inform product decisions. Additionally, you will build and integrate these analyses into internal tooling to ensure ongoing utility.
Internship Type
intern
Company Size
89
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
In the fight against breast cancer, every image is an opportunity: to unlock insight, to uncover risk, to embody health, to empower life. Our AI-powered technology delivers unmatched precision for breast radiologists and defines personalized care pathways for every woman we serve. With an exceptional clinical foundation and a clear focus on real-world impact, ScreenPoint’s Transpara algorithms redefine breast imaging for those leading the way in breast health. We are The Breast AI Company. We are Breast AI™.
About the Role

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.


Starting in 2027, we offer an internship within our Product team. The question you will work on: how does Transpara perform and get used in the field?


You will look at this from two angles. The first is AI performance in real-world clinical use. The second is product usage: which modules and configurations customers use. You will work with existing data from across the company.


Your analyses won’t end as a report. You will build them into our internal tooling so they keep running after your internship. We work in an AI-native way, with AI coding assistants as part of the daily workflow.


You will work closely with our Product team and with colleagues across the company, and your findings will feed directly into product decisions.


Job requirements

  • You are a master student in the last year of your studies, in the field of Data Science, AI, Computer Science, (Biomedical) Engineering, or related.
  • You are available for at least 6 months; a longer period is preferred.
  • You have programming experience in Python and SQL, and preferably experience with Git.
  • You have experience building with data: analyses, dashboards or data applications that other people use.
  • You use AI coding tools in your work, or are eager to learn.
  • You have a product mindset: you want to know why a number matters and what decision it should change.
  • Curious, self-motivated, with a high level of energy and initiative.
  • Fluent in English.


Kindly mention the following in your accompanying letter:

  • Your motivation to apply for an internship at ScreenPoint Medical.
  • An example of something you built with data and who used it.
  • What you aim to learn during your internship.
  • The period for which you are available.


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.


Do you want to help us build an innovative solution to improve health worldwide? And do you want to be part of an ambitious and fast-growing team who help 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 jobs@screenpointmed.com. Please note that applications submitted via this email address will not be reviewed. To apply, please use the ‘Apply for this job’ button.

Key Skills
Data ScienceArtificial IntelligenceComputer ScienceBiomedical EngineeringPythonSQLGitData AnalysisDashboardingData ApplicationsProduct ManagementClinical ResearchMachine LearningProduct Mindset
Categories
Data & AnalyticsTechnologyHealthcareSoftwareEngineering