Job Description

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In this role, you have the opportunity to

Play an active role in the research team by contributing creative ideas, designing and developing data analytics solutions in healthcare, resulting in patents that protect potential future expansion of our healthcare business.

You are responsible for

  • Designing novel algorithms for data mining, visual analytics in collaboration with hospitals

  • Developing the analytics prototypes hands-on and implementing analytics solutions with engineers

  • Evaluating and validating your data analytics solutions in the hospital settings

  • Documenting your innovation outcomes in a formal way such as patents, technical notes, as well as peer-reviewed publications

  • Collaborating with colleagues from other groups in Philips working in related fields and assisting your colleagues with your data analytics insights, both in China and abroad

You are a part of

AI Lab of Philips Research China, focusing on innovations using data mining, machine learning, and artificial intelligence in the professional healthcare settings. A highly effective and efficient, but fun workplace atmosphere is valued and a diverse team with backgrounds not only in biomedical engineering but also in computer science will greet you. You will report to the AI Lab leader and collaborate with business teams as well as hospital professionals to accelerate innovations.

To succeed in this role, you should have the following skills and experience

  • Master degree or PhD in Computer Science, Biomedical Engineering or related fields, with at least 3-5 years of relevant experience

  • Track records of publications in international conferences/journals

  • Hands-on experience in coding solutions on realistic data analytics applications

  • Experienced in Python, Java, R, or other programming language

  • Experienced in Data Pipeline engineering skills: Hadoop, Spark, Hive.

  • Solid knowledge and experience in data mining, machine learning and statistics

  • Evidence of strong project management skills

  • Fluency in written/spoken English and Chinese for technical writing and strong presentation skills

  • Collaborative and communicative mindset with stakeholders such as clinical, R&D, business and academic professionals

  • Knowledge and experience in clinical practice and clinical trials is a plus

  • Experienced in Deep Learning is a plus


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