Principal Data Scientist, Medical Imaging
Lead development of deep learning models for medical image analysis (MRI, X-ray) to accelerate clinical trials, create AI biomarkers, and integrate imaging AI into drug development workflows. Requires PhD and 5+ years building production-grade medical imaging AI.
About the job
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
Skills
Computer Vision, Deep Learning, PyTorch, TensorFlow, Python, Mri, X-Ray, Dicom, Cnns, Vision Transformers, U-Net, Medical Imaging, Image Segmentation, Radiomics
Similar jobs
ML Engineering jobs
PointClickCare
United States
Leads the technical vision, architecture, and engineering standards for a company-wide ML platform supporting model development, deployment, serving, and monitoring. The role requires principal-level expertise in Python and Java, scalable MLOps, cloud infrastructure, security, and technical leadership across teams.
San Francisco, CA
Principal technical leader defining architecture and multi-year strategy for Pinterest’s Homefeed, Search, and AI Assistant experiences. The role requires 15+ years of large-scale systems or machine-learning experience, deep expertise in discovery and generative AI, and hands-on leadership across engineering and product organizations.
Rula
United States
Own the architecture and delivery of production AI systems for patient-provider matching, search relevance, personalization, clinical workflows, and engagement. The role requires extensive software engineering, distributed systems, search or recommendation, ML applications, and foundation-model experience in a regulated healthcare setting.
Zoox
Foster City, CA
Leads the technical strategy and engineering execution required to achieve driverless freeway operation for autonomous vehicles. Requires 10+ years of software experience, demonstrated freeway autonomy leadership, deep expertise in an autonomy domain, and strong executive communication skills.
Fetch
United States
Design and scale ML infrastructure and real-time learning systems powering personalization, search, ranking, and ad tech for millions of consumers. The role requires deep distributed-systems and data-pipeline expertise, strong architecture leadership, and experience delivering zero-to-one ML systems.