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We’re seeking an experienced Data Scientist with a strong background in cloud computing, large-scale infrastructure, asynchronous microservice architecture, and a deep understanding of medical imaging and clinical data.
What You’ll Do
- Build and scale AI pipelines for medical imaging in the cloud.
- Design and deploy microservice-based architectures for AI training and inference.
- Work with complex imaging datasets (DICOM, PACS) and clinical data to deliver accurate, reliable models.
- Collaborate with engineers, clinicians, and regulatory teams to bring AI safely into clinical practice.
What We’re Looking For
- Expertise in cloud platforms (AWS, GCP, or Azure).
- Strong understanding of asynchronous microservices and distributed systems.
- Deep medical and imaging domain knowledge, ideally in radiology or clinical workflows.
- Proficiency in Python and deep learning frameworks (PyTorch, TensorFlow).
- Experience in healthcare or regulated AI environments is a plus.
Join a mission-driven team advancing AI that enhances diagnostics and improves patient care.
Key Skills
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