Become an Integral Part of Siemens Healthineers as an Intermediate Applied Machine Learning Scientist. Focus on developing advanced deep learning systems to revolutionize cancer care through enhanced imaging techniques.

This role is focused on designing and deploying deep learning solutions that significantly improve oncology imaging through 3D segmentation and adaptive workflows. You will work with cross-functional teams, translating clinical needs into effective AI-driven solutions to support oncologists.

Key Responsibilities:
• Optimize deep learning models for oncology imaging tasks
• Implement advanced model improvement techniques
• Create scalable image processing pipelines in collaboration with clinicians




• Validate models against regulatory and safety standards
• Support ongoing research and refinement of AI tools

Requirements:
• M.Sc. or Ph.D. in Biomedical Engineering or similar
• 1–3 years’ experience in applied deep learning
• Solid coding skills in Python and familiarity with ML frameworks
• Knowledge of DICOM and healthcare imaging systems
• Proven communication and cooperative skills

Drive innovation in cancer care using your machine learning skills at Siemens Healthineers.
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📌 Siemens Healthineers Machine Learning Scientist Role Alberta
🏢 Siemens Healthineers
📍 Alberta