Data Scientist - 2D

Key Responsibilities

Machine Learning & Deep Learning

• Develop and implement machine learning and deep learning models for medical imaging tasks such as segmentation, classification, anomaly detection, and quantitative analysis
• Work with clinical datasets to ensure model accuracy and relevance

Medical Imaging Data Expertise

• Handle 2D/3D DICOM datasets and perform image reconstruction, preprocessing, and annotation
• Integrate imaging data with PACS systems for workflow optimization
• Utilize medical imaging libraries for analysis and visualization

Technical Stack & Model Deployment

• Develop models using Python, TensorFlow, PyTorch, and other relevant libraries
• Build, validate, and deploy clinical-grade AI/ML models with explainability and compliance considerations
• Collaborate with clinical and technical teams to ensure safe and effective implementation

Validation & Compliance

• Ensure models meet regulatory, compliance, and clinical validation standards
• Conduct quantitative analysis to support clinical decision-making and reporting
• Maintain documentation for audits and model lifecycle management