United Imaging Intelligence (UII) was established on December 21, 2017. It is led by two world-renowned leaders of the AI industry, Professor Dinggang Shen and Dr. Xiang Sean Zhou. Together, they will lead UII in focusing on "empowerment" and "win-win." UII enables doctors and hospitals to win, for research institutions to win, and for third-party companies to win. Currently, UII has attracted a large number of the most talented people in the field of medical AI to form a medical AI "Dream Team," with a perfect combination of both academic and industrial expertise. UII is committed to providing AI solutions for medical devices, imaging, and diagnosis - helping clients better understand and embrace AI. UII believes in openness and looks toward the future. It is the firm belief of UII that AI will not replace doctors, but doctors will come to understand and appreciate the benefits of AI. The mission of UII is to deepen our knowledge and broaden our experience in medical imaging AI, innovate into multiple new dimensions, and strive to be a trailblazer in the healthcare AI field; and to strive for the broadest application of AI in the healthcare domain, empower and enable our customers, and bring health to all patients and citizens. The business scope of UII is mainly involved in: development of artificial intelligence application software, big data services, computer information technology development, technical consulting, technical services, technology transfer, computer system integration, development and sales of computer hardware and auxiliary equipment, sales of electronic products and mechanical equipment, and health management consulting.

 
Main Responsibilities

1. Research and develop analytic algorithms for AI healthcare, including literature review, feasibility study, algorithm prototype development, code realization, and performance optimization et;

2. Work with hospitals and research institutes to conduct scientific research;

3. Understand user needs and participate in product innovation, development and realization;

4. Document and summarize technical knowledge, and write necessary documents for product registration;

5. Continuously improve in technical skills and academic accomplishments. Publish papers and compose patent applications;

6. Exchange technical knowledge deeply and extensively within the team, and help recruit and train new team members.

 
Qualification Requirements

1. Master's degree, or Ph.D (preferred) in computer science, electrical/computer engineering, biomedical engineering, applied mathematics/physics or related areas;

2. Proficient in deep learning algorithms, and master one or multiple deep learning platforms. (e.g. PyTorch, TensorFlow, Caffe, etc.);

3. Best be proficient in C/C++ programming, Python programming, and familiar with ITK/VTK/QT;

4. Best with publications in top journals and conferences in medical image processing, computer vision, machine learning, or natural language processing;

5. Best with rich experience in traditional machine learning algorithms (e.g. Adaboost, Random Forest, SVM);

6. Best be proficient in medical image processing algorithms (e.g. Deformable Registration, Deformable models);

7. Best be experienced with product development;

8. Good teamwork, strong communication, collaboration, and learning skills;

9. Strong in English communication and writing;

10. Hold faith and understanding in the prospect of AI healthcare.