Principal Data Scientist, Medical Imaging

About the Company

Formation Bio is a tech and AI driven pharma company differentiated by radically more efficient drug development. The company builds technology platforms, processes, and capabilities to accelerate all aspects of drug development and clinical trials.

Responsibilities

• Lead the development of advanced deep learning models for medical image analysis, focusing on MRI and X-ray modalities
• Design and implement automated image processing pipelines for disease detection, segmentation, and quantification
• Create innovative approaches for longitudinal image analysis to track disease progression and treatment efficacy
• 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
• Build scalable infrastructure for processing and analyzing large-scale medical imaging datasets
• Present imaging insights and model performance to executive leadership and external partners

Requirements

• PhD in Computer Science, Biomedical Engineering, Medical Physics, or related field
• 5+ years of post-PhD industry experience in medical imaging AI
• Deep expertise in computer vision and deep learning (CNNs, U-Net, Vision Transformers)
• Proven track record with MRI and X-ray image analysis and DICOM standards
• Strong programming skills in Python with expertise in PyTorch or TensorFlow
• Ability to collaborate with radiologists and clinical teams

Preferred Qualifications

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