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Radiologist - Clinical Professional

Radiologist - Clinical Professional

Siemens

5 - 9 years

0 Lacs

karnataka

Posted:3 days ago| Platform: Shine logo

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Skills Required

data science algorithm development medical imaging machine learning communication skills chest radiology thoracic imaging clinical expertise ai engineering diagnostic tools clinical validation ai models evaluation algorithm refinement ai integration ai applications collaboration skills

Work Mode

On-site

Job Type

Full Time

Job Description

Role Overview: You will be a Chest Radiologist at Siemens Healthcare Technology Center in Princeton, NJ, working on advancing AI-based solutions in medical imaging. Your role involves collaborating with data scientists, AI engineers, and clinical teams to develop, validate, and deploy AI-driven diagnostic tools. This is an exciting opportunity to integrate clinical radiology with cutting-edge technology and shape the future of AI in healthcare. Key Responsibilities: - Develop algorithms for automated detection, diagnosis, and quantification of thoracic diseases like lung cancer, pneumonia, and interstitial lung disease in medical imaging. - Lead clinical validation efforts for AI models, evaluate algorithm performance, ensure diagnostic accuracy, and compare AI outputs against radiologist interpretation. - Provide expert annotations and guidance on chest imaging datasets to enhance AI model training and maintain the quality and consistency of labeled datasets. - Collaborate with AI developers to refine algorithms, offer clinical feedback for improvement, and integrate AI solutions into radiology workflows. Qualifications Required: - Hold a Doctor of Medicine (MD) degree with board certification in Diagnostic Radiology and completed fellowship training in Chest or Thoracic Imaging. - Minimum of 5 years of experience in chest imaging, particularly in diagnosing pulmonary and thoracic conditions. - Experience in AI development, clinical research, or advanced imaging techniques is highly desirable. - Proficiency in AI applications in medical imaging, familiarity with automated segmentation, classification, and detection algorithms, as well as experience with AI platforms, machine learning models, and medical imaging software. - Strong communication and collaboration skills for effective teamwork in a multidisciplinary environment.,

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Radiologist - Clinical Professional