In collaboration with the University of Copenhagen

We are seeking two postdoctoral researchers to join ScreenPoint Medical's Innovation team in Copenhagen, in a joint project with the University of Copenhagen. You will be employed by ScreenPoint Medical Danish office and work in a team on cutting-edge foundation models for breast cancer recurrence, while being mentored by a professor in Computer Science and AI at the University of Copenhagen.

This unique position bridges industry and academia: you will have access to ScreenPoint's large-scale clinical breast imaging data and product expertise, while benefiting from an academic research environment, publication freedom, and world-class scientific supervision.

You will be part of a highly motivated and interdisciplinary team of experts in breast imaging, artificial intelligence, and clinical research, working in close collaboration with the Innovation team in Nijmegen and Copenhagen.

Your responsibilities

• Design and develop robust foundation and world models (e.g. vision transformers, vision-language models, LeJepa) tailored to breast imaging data.
• Apply and adapt foundation models to downstream tasks focused on breast cancer detection and risk in women with earlier diagnosed cancers.
  
• Collaborate closely with ScreenPoint's AI Algorithm Lead and AI Research Engineers to ensure robust integration between foundation models, MLOps infrastructure, and downstream evaluation metrics.
  
• Perform and report on in-depth model analysis, including calibration, subgroup performance, and failure-mode assessment.
  
• Publish findings in high-impact peer-reviewed journals and present at leading international conferences, supported by your academic supervisor at the University of Copenhagen.

Experience and skills

• PhD in Computer Science, Machine Learning, Biomedical Engineering, Applied Mathematics, Physics, Statistics or a closely related technical field.
  
• Proven research experience with foundation models and state-of-the-art deep learning methods (vision transformers, vision-language models, self-supervised learning).
  
• Publication track record.
• Experience in medical imaging or clinical AI research is strongly preferred.
• Ability to translate clinical or scientific questions into appropriate modeling approaches (e.g. classification, risk prediction, longitudinal modeling).
  
• Strong understanding of model evaluation, calibration, robustness, and subgroup performance in real-world datasets.
  
• Proficiency in Python and deep learning frameworks (e.g. PyTorch), and experience working in Linux-based environments and GPU clusters.
  
• Excellent written and spoken English and the ability to work both independently and collaboratively.
  

Preferred qualifications

• Experience with breast data (e.g. xray, MRI).
  
• Familiarity with NLP, LLMs, or vision-language models (VLMs).
  
• Experience with self-supervised or weakly supervised learning on large-scale datasets
  
• Prior publications in top-tier AI or medical imaging venues (NeurIPS, ICCV, MICCAI, CVPR, etc.).
  

What we offer:

• Two full-time postdoctoral positions based in Copenhagen, Denmark, with a hybrid working arrangement.
  
• Employment at ScreenPoint Medical with co-supervision from a professor in Computer Science and AI at the University of Copenhagen.
  
• Access to large-scale, high-quality clinical breast imaging datasets through ScreenPoint's industry partnerships and clinical collaborations.
  
• A collaborative, ambitious, and international environment spanning both industry and academia.

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.