Data Scientist, Medical Imaging (Open Level)
Core
Lead the integration of advanced imaging analytics and AI into the drug development pipeline to accelerate clinical trials and improve patient outcomes.
Role type
Senior IC machine-learning engineer (medical imaging)
Builds
Automated image processing pipelines for disease detection, segmentation, and quantification; AI-based biomarkers and surrogate endpoints for clinical trials.
Domain
Pharmaceutical development + Medical Imaging
Deliverable
production ML models
Required skills
Computer vision, Deep learning architectures (CNNs, U-Net, Vision Transformers), MRI and X-ray image analysis, DICOM standards, Python, PyTorch/TensorFlow, Medical imaging libraries
Preferred skills
Regulatory submissions for imaging endpoints, Multi-modal imaging fusion, Clinical trial design, Federated learning, Radiomics, 3D image reconstruction
Technologies
PyTorch, TensorFlow, DICOM
Responsibilities
Develop deep learning models for MRI and X-ray analysis; Design automated image processing pipelines; Create approaches for longitudinal image analysis; Collaborate with clinical operations to integrate imaging AI; Partner with regulatory teams on FDA standards; Build scalable infrastructure for large-scale medical imaging datasets.
Seniority
Senior, hands-on IC
