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Continuously scout the latest technology for technology trend analysis and selection of optimal technology for AI/machine learning solutions
Close collaboration with clinical partners, with experienced clinical knowhow for better understanding of the clinical challenges for proactive innovative technical concept
Close collaboration with Siemens Healthineers business partners to understand and capable of foresee the requirements and proactively drive and land clinical AI solutions
With sufficient understanding of the clinical problem and data status, design, develop and validate algorithms in Deep Learning or traditional image processing methods to solve clinical needs
Develop efficient metrics / evaluation criterion to judge algorithmic efficacy and performance based on clinical demands
Scientific publication and intellectual properties
Other tasks assigned by superior
Requirements:
Strong technical background in Deep Learning and familiar with traditional image processing methods etc.
Proficiency in Python and ability to quickly prototype in C++ is desired
3 year+ experience in building medical imaging AI solutions. Especially for major clinical domains like cardiovascular, neurovascular or oncology is preferred
3 year+ experience of medical image and medical big data of mature & market-leading industry AI product preferred
3 year+ research experience in image segmentation, detection, classification, registration etc. preferred
Strong ability to proactively search novel technologies to continuously improve the solution performance in a fast-paced environment
Initiates, sets up and conducts value co-creation activities to identify and validate concepts for new features and solutions
Able to guide and manage the expectation from business partners and push new features into product.
Outstanding written and verbal communication skills in English are required
Excellent interpersonal and personal skills like teamwork and collaboration, presentation, creativity and innovativeness.