
Innovation / Engineering Internship
Screenpointmedical · Nijmegen, Gelderland, Netherlands · Hybrid
All reasons
- Open 263 days
In its favour
- Still listed on the employer's own board
- Publishes a salary range
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.
We offer internships several times per year within our Innovation and Engineering teams. As an intern, you will contribute to the development and exploration of new technologies that strengthen and expand our products.
You will work closely with experienced engineers and researchers, using our in-house datasets and systems. Your work will involve hands-on model development, experimentation, and validation in a real clinical context. The projects you support directly contribute to improving breast cancer detection and patient outcomes.
Job requirements
- You are a master student in the last year of your studies, in the field of AI, Data Science, Physics, Biomedical Sciences, or related.
- You are available for at least 6 months; a longer period is preferred
- Experience training Deep Learning learning models on image data.
- You have programming experience in Python and preferably experience with Git
- Self-motivated with a high level of energy, enthusiasm and initiative.
- Fluent in English.
Kindly mention the following in your accompanying letter
- Your motivation to apply for an internship at ScreenPoint Medical.
- The topics or research areas that interest you most
- 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.
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.
Skills
- Deep Learning
- Python
- Git
- Machine Learning
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