# AI Research Engineer - Innovation Team
ScreenPoint Medical is looking for an enthusiastic AI Research Engineer to strengthen the Innovation team in building the foundation for ScreenPoint's future AI models.
## Responsibilities
- Design and implementation of downstream AI models that operationalize clinical endpoints using foundation model outputs
- Translation of clinical study setups and outcome definitions into clear modeling tasks and evaluation frameworks in collaboration with Clinical Scientists
- Definition and application of consistent modeling and evaluation approaches for multiple biomarkers and imaging modalities
- Close collaboration with the AI Algorithm Lead for robust integration between foundation models, MLOps infrastructure, and downstream biomarker models
- Supervision and assessment of modeling approaches developed by AI Research Scientists with technical feedback and mentorship
- Execution of in-depth model analysis, including calibration, subgroup performance, and failure-mode assessment
## Required
- MSc or PhD in Computer Science, Machine Learning, Biomedical Engineering, Applied Mathematics, Physics, or related technical field
- Minimum 5 years of experience developing AI or machine learning models in medical imaging or clinical research context
- Demonstrated ability to translate clinical or scientific questions into appropriate modeling approaches (e.g., classification, risk prognosis, longitudinal modeling)
- Experience 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, experience working in Linux environments
## Desired
- Experience with NLP using LLMs or VLMs