Areas of Responsibilities:
- 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
Experience:
- 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.
