Medical device startup in Caesarea
is seeking for
a Senior Algorithm engineer with deep expertise in medical computer vision
Key Responsibilities
Develop and optimize algorithms for 2D/3D registration, segmentation, and tracking.
Implement classical and ML-based methods for CT and fluoroscopy analysis.
Rapidly prototype algorithms from academic research.
Collaborate with software, clinical, and regulatory teams.
Support integration and documentation for regulatory submissions.
is seeking for
a Senior Algorithm engineer with deep expertise in medical computer vision
Key Responsibilities
Develop and optimize algorithms for 2D/3D registration, segmentation, and tracking.
Implement classical and ML-based methods for CT and fluoroscopy analysis.
Rapidly prototype algorithms from academic research.
Collaborate with software, clinical, and regulatory teams.
Support integration and documentation for regulatory submissions.
Requirements:
Advanced degree in Computer Science, Biomedical Engineering, or a related discipline; PhD preferred.
Minimum of 5 years experience developing computer vision algorithms, ideally in the medical imaging domain.
Hands-on experience with CT and/or fluoroscopy data and its associated challenges.
Expertise in Python, C ++, and ML frameworks (e.g., TensorFlow, PyTorch).
Experience working with CT and/or fluoroscopy data.
Familiarity with medical software lifecycle and regulatory standards.
Advanced degree in Computer Science, Biomedical Engineering, or a related discipline; PhD preferred.
Minimum of 5 years experience developing computer vision algorithms, ideally in the medical imaging domain.
Hands-on experience with CT and/or fluoroscopy data and its associated challenges.
Expertise in Python, C ++, and ML frameworks (e.g., TensorFlow, PyTorch).
Experience working with CT and/or fluoroscopy data.
Familiarity with medical software lifecycle and regulatory standards.
This position is open to all candidates.
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