Summary
The Data Science Developer is responsible for analyzing large datasets, developing machine learning algorithms, working with cross-functional teams, designing software tools, implementing deep learning architectures, participating in clinical studies, ensuring regulatory compliance, and staying updated with the latest trends. They require 5 years of experience in imaging systems or medical image diagnosis software development, knowledge of DICOM development, prior experience with C++, C#, Python, machine learning, and a B.S. in Computer Science or related field.
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
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
