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The Data Science Developer is responsible for understanding the business problems, identifying/applying the right AI or cognitive computing technologies to solve problems, and is involved in the formulation and execution of technology solutions.
Job Responsibility:
Collect, preprocess, and analyze large datasets to identify patterns and features
Develop and apply machine learning algorithms to improve diagnosis accuracy and reduce false positives
Work with cross-functional teams, including radiologists, medical professionals, and software engineers, to develop and test new algorithms and models
Design and develop software tools and frameworks to automate the processing and analysis of medical images
Implement deep learning architectures for image analysis and classification tasks
Participate in the design and implementation of clinical studies to evaluate the performance of developed algorithms and models
Ensure that developed models and algorithms meet regulatory and quality standards
Keep up-to-date with the latest trends and technologies in the field of 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
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