
11 - 50 employees
🏥 Healthcare
💼 Consulting
📦 Logistics
💰 $225k Grant on 2019-08
Healthcare • Consulting • Logistics
DeepHealth is a global leader in AI-powered health informatics, providing innovative solutions designed to enhance operational efficiency and clinical confidence in radiology. As a wholly-owned subsidiary of RadNet, Inc. , DeepHealth offers a comprehensive suite of diagnostic and imaging tools, including the DeepHealth OS, a pioneering cloud-native operating system. Their AI-powered solutions support large-scale diagnostic programs and streamline workflows in areas such as breast, prostate, lung, and brain cancer detection. DeepHealth collaborates with leading healthcare institutions worldwide to transform radiology practices and improve care delivery.
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11 - 50 employees
🏥 Healthcare
💼 Consulting
📦 Logistics
💰 $225k Grant on 2019-08
Healthcare • Consulting • Logistics
DeepHealth is a global leader in AI-powered health informatics, providing innovative solutions designed to enhance operational efficiency and clinical confidence in radiology. As a wholly-owned subsidiary of RadNet, Inc. , DeepHealth offers a comprehensive suite of diagnostic and imaging tools, including the DeepHealth OS, a pioneering cloud-native operating system. Their AI-powered solutions support large-scale diagnostic programs and streamline workflows in areas such as breast, prostate, lung, and brain cancer detection. DeepHealth collaborates with leading healthcare institutions worldwide to transform radiology practices and improve care delivery.
• Independently executes assigned clinical studies activities • Manages the collection, maintenance, and quality of medical imaging data and associated clinical information from multiple clinical sites • Develops and implements image collection procedures and protocols • Collaborates with radiologists and cross-functional teams • Assesses image data for quality and protocol compliance, resolves discrepancies • Support data analysis and contributes to interpretation of study results • Develops study documentation, technical reports, and scientific materials
• BS degree and a minimum of 5 years of related experience; or a Master’s degree and 3 years of experience; or equivalent work experience • Knowledge of clinical research principles and data analysis • Proficiency in scientific computing, data analysis tools, and programming • Strong attention to detail, documentation and communication skills • Understanding of statistical methods and their application • Experience working with real-world healthcare data, preferably imaging (dicom) data • Demonstrated ability to work independently and manage assigned tasks to completion
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