Data Scientist, Medical Imaging (Open Level)

What you'll do

• Develop deep learning models and automated pipelines for medical image analysis, disease monitoring, and treatment-response assessment.
• Integrate imaging AI into clinical trial protocols and workflows, and collaborate with clinical and regulatory teams on endpoints and standards.
• Build infrastructure for large-scale, multi-site imaging data and present model performance and insights to leadership and partners.

What they ask for

• PhD in Computer Science, Biomedical Engineering, Medical Physics, or a related field focused on medical imaging.
• 5+ years of post-PhD industry experience developing production-grade AI models for medical imaging.
• Expertise in computer vision and deep learning architectures, with MRI and X-ray analysis experience, including DICOM standards and medical imaging software.
• Strong Python programming skills and expertise with PyTorch/TensorFlow and medical imaging libraries; ability to work with radiologists and clinical teams and communicate results.

Nice to have

• Experience with regulatory submissions involving imaging endpoints or AI-based image analysis tools.
• Experience with multi-modal imaging, clinical trial design, federated learning, radiomics, or 3D image reconstruction.

Pay

$177,500 - $232,000 (USD; total compensation)

Tools

MRI, X-ray, CT, PET, DICOM, Python, PyTorch/TensorFlow, CNNs, U-Net, Vision Transformers

AI focus

Develop and deploy computer vision and deep learning for medical image analysis, including automated detection, segmentation, quantification, longitudinal monitoring, AI-based biomarkers, and treatment-response assessment in clinical trials.