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ScreenPoint Medical

AI Research Engineer

ScreenPoint Medical

AI Research Engineer developing advanced models for breast cancer analysis. Collaborating with clinical experts and utilizing AI in medical imaging, contributing to personalized care pathways.

Posted 6/14/2026full-timeNijmegen • 🇳🇱 NetherlandsMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
LinuxPython

About the role

Key responsibilities & impact
  • Design and implement downstream AI models that operationalize clinical endpoints using outputs from foundation models.
  • Translate clinical study designs and outcome definitions into clear modeling tasks and evaluation frameworks in collaboration with Clinical Scientists.
  • Define and apply consistent modeling and evaluation approaches across multiple biomarkers and imaging modalities.
  • Collaborate closely with the AI Algorithm Lead to ensure robust integration between foundation models, MLOps infrastructure, and downstream biomarker models.
  • Guide and review modeling approaches developed by AI Research Scientists, providing technical feedback and mentorship.
  • Perform in-depth model analysis, including calibration, subgroup performance, and failure-mode assessment.

Requirements

What you’ll need
  • MSc or PhD in Computer Science, Machine Learning, Biomedical Engineering, Applied Mathematics, Physics, or a related technical field
  • At least 5 years of experience developing AI or machine learning models in a medical imaging or clinical research context
  • Proven ability to translate clinical or scientific questions into appropriate modeling approaches (e.g. classification, risk prediction, longitudinal modeling)
  • Experience working with multimodal data (e.g. imaging combined with clinical or pathology data)
  • Strong understanding of model evaluation, calibration, robustness, and subgroup performance in real-world datasets
  • Familiarity with foundation models and downstream fine-tuning or adaptation strategies
  • Proficiency in Python and deep learning frameworks, and experience working in Linux-based environments

Benefits

Comp & perks
  • Professional development opportunities
  • Flexible working hours

ATS Keywords

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Hard Skills & Tools
AI modelsmachine learning modelsmodel evaluationcalibrationrisk predictionlongitudinal modelingmultimodal dataPythondeep learning frameworksLinux
Soft Skills
collaborationmentorshiptechnical feedback
Certifications
MScPhD