Job Title

Principal Data Scientist, Big Data & AI Lab

Job Description

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
  • Leading Agile projects and a small team of Data Scientists
  • 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

The Big Data & 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 Lab Director 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 8-10 years of relevant experience
  • Track records of publications in international conferences/journals
  • Experienced in leading projects Agile project and leading a small team of Data scientists.
  • Hands-on experience in coding solutions on realistic data analytics applications
  • Experienced in Python, Java, R, C++ or other programming language
  • Experienced in Data Pipeline engineering skills: Hadoop, Spark, Hive.
  • Experience in Deep Learning framework (e.g. Torch/PyTorch, Tensorflow, Cafee, etc)
  • 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

In return, we offer you

A path towards your most rewarding career. Philips is growing its Artificial Intelligence. Succeeding in this challenging role will open many doors for your long term career, in other areas in Philips or otherwise. We also believe that we are at our best as a company when you are at yours as a person. Thus, we offer competitive health benefits, a flexible work schedule and access to local well-being focused activities.

Why should you join Philips?

Working at Philips is more than a job. It’s a calling to create a healthier society through meaningful work, focused on improving 3 billion lives a year by delivering innovative solutions across the health continuum. Our people experience a variety of unexpected moments when their lives and careers come together in meaningful ways.

To find out more about what it’s like working for Philips at a personal level, visit the Working at Philips page on our career website, where you can read stories from our employee blog. Once there, you can also learn about our recruitment process, or find answers to some of the frequently asked questions.


If you forgot your password, you can click the Forgot Password  button on the Sign In screen to reset it. In case of technical difficulties, please send an email to
(Note: To ensure fairness and legal compliance in our recruitment processes, only technical issues will be monitored through the above inbox. Please do not submit resumes or applications to this email, as they will not be reviewed. Only applications received through the online application process will be considered.)

Read Full DescriptionHide Full Description
Confirmed 3 hours ago. Posted 30+ days ago.

Discover Similar Jobs

Suggested Articles