Develop and apply machine learning and deep learning models for medical image analysis; collect and preprocess large datasets; build software tools and frameworks for automated image processing; collaborate with radiologists and engineers; design clinical evaluations; ensure regulatory and quality compliance for imaging algorithms.
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.
- 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
PaxeraHealth Newton, Massachusetts, USA Office
Newton, MA, United States
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