Principal Data Scientist, Medical Imaging

Responsibilities

• Lead the development of advanced deep learning models for medical image analysis, focusing on MRI and X-ray modalities for clinical trial applications
• Design and implement automated image processing pipelines for disease detection, segmentation, and quantification across multiple therapeutic areas
• Create innovative approaches for longitudinal image analysis to track disease progression and treatment efficacy in clinical trials, including AI-based biomarkers and surrogate endpoints
• Collaborate with clinical operations to integrate imaging AI solutions into trial protocols and workflows
• Partner with regulatory teams to ensure imaging biomarkers and AI models meet FDA standards for clinical trial endpoints
• Build scalable infrastructure for processing and analyzing large-scale medical imaging datasets from multi-site clinical trials
• Present imaging insights and model performance to executive leadership and external partners

Requirements

• PhD in Computer Science, Biomedical Engineering, Medical Physics, or related field with focus on medical imaging
• 5+ years of post-PhD industry experience developing production-grade AI models for medical imaging applications
• Deep expertise in computer vision and deep learning architectures (CNNs, U-Net, Vision Transformers) for medical image analysis
• Proven track record with MRI and X-ray image analysis, including hands-on experience with DICOM standards and medical imaging software
• Strong programming skills in Python with expertise in PyTorch/TensorFlow and medical imaging libraries
• Demonstrated ability to collaborate with radiologists and clinical teams to translate medical insights into technical solutions
• Strong communication skills with proven ability to present complex imaging analytics to diverse stakeholders

Nice-to-Haves

• Experience with regulatory submissions involving imaging endpoints or AI-based image analysis tools
• Experience with multi-modal imaging fusion and analysis (combining MRI, CT, PET data)
• Knowledge of clinical trial design and experience with imaging core lab operations
• Experience with federated learning or privacy-preserving techniques for medical imaging
• Understanding of radiomics and quantitative imaging biomarker development
• Experience with 3D image reconstruction and volumetric analysis

Compensation & Benefits

• Total compensation range: $204,500 - $267,000
• Equity, comprehensive benefits, and generous perks