
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.
🔥 3 minutes ago
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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.
• Define and drive the scientific roadmap for foundation models in medical imaging within the ML Capabilities programme • Track and evaluate machine learning and generative AI developments relevant to radiology and multimodal imaging • Design and prototype novel model architectures for multimodal medical imaging data • Develop experimental systems to validate research hypotheses and measure progress against scientific goals • Establish and maintain benchmarking frameworks across downstream clinical and technical tasks • Collaborate with engineering teams to translate research advances into deployable solutions • Lead scientific publications and conference contributions communicating DeepHealth research results • Engage with external research collaborators, including Imperial College London partners • Mentor researchers and contribute to research quality standards • Document methods, experiments, and findings for reproducibility, review, and knowledge transfer
• PhD in Machine Learning, Computer Science, or a related field (required) • Strong publication record at top machine learning venues, for example NeurIPS, ICML, ICLR (required) • Expertise in deep learning and generative models (required) • Experience designing and evaluating machine learning systems (required) • Familiarity with multimodal learning (preferred) • Experience in medical imaging or healthcare AI (preferred) • Experience mentoring or leading research projects (preferred) • Follows data privacy, compliance, safety and confidentiality standards • Follows all local, regional and country laws concerning employment • Ability to travel domestically/internationally up to 10%
• Domestic/international travel up to 10% • Hybrid/remote working arrangement
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