Senior Data Scientist/Architect - NLP
In this role, you have the opportunity to
Play an active role in the research team by contributing creative ideas, designing and developing data innovation solutions in healthcare, resulting in patents that protect potential future expansion of our healthcare business.
You are responsible for
Designing and lead overall architecture for AI/Big data innovation solution for Cardiology and Oncology solutions.
Developing the data innovation prototypes, deliver and implement as products with engineers
Evaluating and validating data innovation 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 internal or external of Philips working in related fields and assisting your colleagues with your data innovation insights, both in China and abroad
You are a part of
The PD (Precision Diagnosis) & IGT (Image Guided Therapy) department 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 positive workplace atmosphere is valued and a diverse team with backgrounds not only in biomedical informatics but also in computer science will greet you. You will 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
PhD degree in Biomedical Informatics, Computer Science, or related fields (working experience is preferred)
Track records of publications in international conferences/journals
Hands-on experience in coding solutions on realistic data innovation applications
Experienced in Healthcare IT system/architecture, Database or Standards
Experienced in Python, R, Java, C++ or any other programming language
Experienced in Pyramid, Angular, AngularJS or any other web 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. Experience in NLP is a plus.
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. Learn more by watching this video .
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 .