Data Science Developer

## About the role 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. ## Essential Functions and Responsibilities - 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. ## Required Education and Experience - 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.