SUMMARY: 

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