Data Scientist - Medical Imaging

Role Overview: You will be responsible for building and implementing machine learning and deep learning models for medical imaging tasks. You will work on segmentation, classification, anomaly detection, and quantitative analysis of imaging data.

Key Responsibilities: - Build and implement machine learning and deep learning models for medical imaging tasks - Work on segmentation, classification, anomaly detection, and quantitative analysis of imaging data - Handle 2D/3D DICOM datasets, image reconstruction, preprocessing, and annotation - Integrate imaging data with PACS systems and other clinical workflows - Deploy AI/ML models in clinical-grade environments with focus on explainability, validation, and regulatory compliance - Continuously optimize models for accuracy, efficiency, and reliability - Work with cross-functional teams to gather requirements and implement AI solutions - Maintain thorough documentation for models, datasets, and deployment processes

Qualifications Required: - Strong expertise in machine learning and deep learning techniques - Experience with medical imaging data and DICOM datasets - Knowledge of model deployment in clinical-grade environments - Ability to collaborate with cross-functional teams and maintain documentation efficiently Role Overview: You will be responsible for building and implementing machine learning and deep learning models for medical imaging tasks. You will work on segmentation, classification, anomaly detection, and quantitative analysis of imaging data.

Key Responsibilities: - Build and implement machine learning and deep learning models for medical imaging tasks - Work on segmentation, classification, anomaly detection, and quantitative analysis of imaging data - Handle 2D/3D DICOM datasets, image reconstruction, preprocessing, and annotation - Integrate imaging data with PACS systems and other clinical workflows - Deploy AI/ML models in clinical-grade environments with focus on explainability, validation, and regulatory compliance - Continuously optimize models for accuracy, efficiency, and reliability - Work with cross-functional teams to gather requirements and implement AI solutions - Maintain thorough documentation for models, datasets, and deployment processes

Qualifications Required: - Strong expertise in machine learning and deep learning techniques - Experience with medical imaging data and DICOM datasets - Knowledge of model deployment in clinical-grade environments - Ability to collaborate with cross-functional teams and maintain documentation efficiently