Senior Data Scientist - Medical Imaging
Formation Bio
About the role
About the Position
As a Senior Data Scientist - Medical Imaging at Formation Bio, you will lead our efforts to integrate advanced imaging analytics and AI into our drug development pipeline. In this role, you'll pioneer the application of computer vision and deep learning to medical imaging data (MRI, X-ray, CT, PET) to accelerate clinical trials and improve patient outcomes. You'll develop state-of-the-art models for automated image analysis, disease progression monitoring, and treatment response assessment. Working closely with clinical teams, radiologists, and drug development experts, you'll translate complex imaging data into actionable insights that drive key decisions across our portfolio. This position offers a unique opportunity to revolutionize how medical imaging is leveraged in pharmaceutical development while directly impacting patient care.
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
About You
Required Qualifications
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 Qualifications
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
Total Compensation Range: $177,500 - $232,000
Responsibilities
- Lead development of deep learning models for medical image analysis in clinical trials
- Build automated pipelines for disease detection, segmentation, and quantification
- Develop longitudinal image analysis methods, AI biomarkers, and surrogate endpoints
- Integrate imaging AI solutions into clinical trial protocols and workflows
- Partner with regulatory teams to ensure imaging biomarkers and models meet FDA standards
- Build scalable infrastructure for large-scale, multi-site medical imaging datasets
- Present imaging insights and model performance to leadership and external partners
Qualifications
- PhD in computer science, biomedical engineering, medical physics, or a related field focused on medical imaging
- At least 5 years of post-PhD industry experience developing production-grade medical imaging AI models
- Deep expertise in computer vision and deep learning architectures, including CNNs, U-Net, and Vision Transformers
- Experience analyzing MRI and X-ray images, using DICOM standards and medical imaging software
- Strong Python skills and expertise with PyTorch or TensorFlow and medical imaging libraries
- Ability to collaborate with radiologists and clinical teams to translate medical insights into technical solutions
- Strong communication and presentation skills
- Preferred: experience with regulatory submissions, multimodal imaging, clinical trials, imaging core labs, federated learning, radiomics, imaging biomarkers, or 3D image analysis
Skills mentioned
H-1B sponsorship history
Historical employer filing data was found for Formation Bio. The employer record includes 5 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.