PaxeraHealth
Healthcare Insurance • Artificial Intelligence
PaxeraHealth is a leading provider of innovative medical imaging solutions that leverage artificial intelligence to enhance healthcare delivery. Specializing in integrated PACS systems, enterprise imaging, and AI authoring platforms, PaxeraHealth serves radiologists, clinicians, and patients globally. Their solutions are designed to be scalable and cost-effective, compatible with any EMR system, and focus on improving patient engagement and operational efficiencies. With a presence in over 50 countries and a dedication to continuous improvement, PaxeraHealth is at the forefront of transforming radiology and other clinical domains with advanced AI technologies.
Data Science Developer
Job not on LinkedIn
April 4
PaxeraHealth
Healthcare Insurance • Artificial Intelligence
PaxeraHealth is a leading provider of innovative medical imaging solutions that leverage artificial intelligence to enhance healthcare delivery. Specializing in integrated PACS systems, enterprise imaging, and AI authoring platforms, PaxeraHealth serves radiologists, clinicians, and patients globally. Their solutions are designed to be scalable and cost-effective, compatible with any EMR system, and focus on improving patient engagement and operational efficiencies. With a presence in over 50 countries and a dedication to continuous improvement, PaxeraHealth is at the forefront of transforming radiology and other clinical domains with advanced AI technologies.
📋 Description
• The Data Science Developer is responsible for understanding business problems and applying AI technologies to solve them. • Collect, preprocess, and analyze large datasets to identify patterns and features. • Develop and apply machine learning algorithms. • Work with cross-functional teams to develop and test new algorithms and models. • Design and develop software tools and frameworks for medical images. • Implement deep learning architectures for image analysis and classification tasks. • Participate in the design and implementation of clinical studies to evaluate algorithm performance. • Ensure developed models meet regulatory and quality standards. • Keep up with trends in medical imaging and data science.
🎯 Requirements
• 5 years of experience in the development and integration of complex imaging systems and/or medical image diagnosis software. • Experience in developing with C++. • Knowledge of DICOM development and troubleshooting experience. • Prior experience developing healthcare components (PACS, VNA, RIS) and workflows. • Experience with C++, C#, Python, machine learning. • B.S. in Computer Science or related field. An M.S. or PhD is a plus.
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