Data Science Developer

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

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