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Salary: USD 177,500 - 232,000 / annual
Formation Bio is a tech and AI-driven pharma company founded in 2016 (originally TrialSpark Inc.) that accelerates drug development through advanced technology platforms and efficient clinical trial processes. The company partners with pharma, research organizations, and biotechs to develop drug candidates past clinical proof of concept, backed by investors including a16z, Sequoia, Sanofi, Thrive Capital, and Spark Capital.
As a Senior Data Scientist in Medical Imaging, you will lead the integration of advanced imaging analytics and AI into Formation Bio's drug development pipeline. You'll pioneer computer vision and deep learning applications on medical imaging data (MRI, X-ray, CT, PET) to accelerate clinical trials and improve patient outcomes. Your core responsibilities include:
• Develop state-of-the-art deep learning models for medical image analysis, with focus on MRI and X-ray modalities for clinical trial applications
• Design and implement automated image processing pipelines for disease detection, segmentation, and quantification across therapeutic areas
• Create innovative approaches for longitudinal image analysis to track disease progression and treatment efficacy, 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
You will work closely with clinical teams, radiologists, and drug development experts to translate complex imaging data into actionable insights that drive portfolio decisions and directly impact patient care.
The role is hybrid (3 days per week in office) based in Boston or New York, with consideration for Research Triangle (NC) and San Francisco Bay Area candidates willing to relocate.
REQUIREMENTS:
Required:
• 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
Preferred:
• 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
