Formation Bio is looking to integrate advanced imaging analytics and AI into their drug development pipeline to accelerate clinical trials and improve patient outcomes by pioneering the application of computer vision and deep learning to medical imaging data.
Requirements
- 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
- 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)
- Experience with federated learning or privacy-preserving techniques for 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, incl. 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
Other
- 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
- Strong communication skills with proven ability to present complex imaging analytics to diverse stakeholders
- Knowledge of clinical trial design and experience with imaging core lab operations
- Understanding of radiomics and quantitative imaging biomarker development
