AI Research Engineer (Diagnostics & Treatment team)

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 are looking for an enthusiastic and motivated AI Research Engineer to join our Innovation: Diagnostics & Treatment team. Transpara has proven that AI can support radiologists in detecting and classifying breast cancer. Our next step is to support the entire breast cancer care pathway, from diagnosis to treatment, bringing value to clinicians along the whole clinical pathway.

In this role, you will build AI models that answer concrete clinical questions and turn them into applications that can become part of our products. For this role, we are looking for someone with hands-on experience in state-of-the-art deep learning methods, such as vision transformers and vision-language models, including adapting foundation models to downstream tasks. These methods will be used in downstream applications to solve a broad range of clinically relevant problems in breast cancer care in close collaboration with clinical experts. Experience with medical imaging data, and a genuine interest in the field, is a strong plus.

You’ll be part of a highly motivated and ambitious group of experts in breast imaging, artificial intelligence and clinical research, who work closely together in an informal atmosphere to make our mission become a reality. You will work with a broad range of technologies and have the opportunity to learn and grow on a daily basis.

Your responsibilities

• Translate clinical questions, study designs, and outcome definitions into clear modeling tasks and evaluation plans, together with Clinical Scientists and clinical experts.
• Design and build AI models for clinical endpoints across the breast cancer pathway. This includes downstream models on top of our foundation models, as well as other state-of-the-art approaches when they fit the problem better.
• Apply consistent modeling and evaluation approaches across biomarkers and imaging modalities, so results are comparable and reusable.
• Work closely with the AI Algorithm Lead to make sure your models integrate well with our foundation models and MLOps infrastructure.
• Build with the end user in mind: develop models that fit the daily workflow of radiologists and other clinicians, such as oncologists and surgeons, and that can grow into product features.
• Perform in-depth model analysis, including calibration, subgroup performance, and failure-mode assessment.
• Take part in code and model reviews, giving and receiving technical feedback within the team.
• Actively use AI-assisted tools to speed up research, coding, experimentation, documentation, and analysis, and help find ways AI can improve how the team works.

Job requirements

• 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
• An AI-native mindset, with demonstrated ability to effectively use tools such as Claude, ChatGPT, coding copilots, or similar technologies to improve the quality, speed, and efficiency of day-to-day work.

Preferred qualifications

• Experience in NLP with LLMs or VLMs

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.