Philips Senior Data Scientist in Shanghai, China

  • Conduct NLP and deep learning technology on clinical reports from various departments.

  • Pro-actively make knowledge available for operational use within Philips to contribute to successful transfers of research results to the businesses.

  • Keep abreast of technical, application and market developments in the relevant technological and industrial areas, demonstrating interest in the business aspects.

  • Contribute pro-actively to a creative and inspiring working environment.

Senior Scientist, Data Analytics (Natural Language Processing)

PRINCIPAL ACCOUNTABILITIES

  • Play an active role in the project team by contributing creative ideas aimed at designing and developing healthcare solutions. Creative ideas should result in patents that protect potential future expansion of our healthcare business.

  • Design and implement solutions, in collaboration with hospitals.

  • Test your solutions in a hospital setting.

  • Be up-to-date, and understand, existing literature in the specific areas assigned to you. Ensure creative ideas are supported by/built on existing literature. Ensure literature reviews and outcome of experiments to be produced are made available to the Philips community in the form of Technical Reports.

  • Actively collaborate with colleagues in Philips that are working in related fields and assist your colleagues, both in China and abroad, by sharing/discussing your insights. MAJOR CHALLENGES

  • Conduct NLP and deep learning technology on clinical reports from various departments.

  • Pro-actively make knowledge available for operational use within Philips to contribute to successful transfers of research results to the businesses.

  • Keep abreast of technical, application and market developments in the relevant technological and industrial areas, demonstrating interest in the business aspects.

  • Contribute pro-actively to a creative and inspiring working environment. More specifically:

  • Define and develop algorithms for deep learning, data visualization and predictive model.

  • Extract information from healthcare system/equipment/infrastructure through data mining.

  • Clinical validation of the developed solutions in the form of validation though to the clinical practice and also clinical trials. Practical experience in setting up or conducting clinical trials is highly desirable. JOB REQUIREMENTS Education:

  • Master degree or PhD in Computer Science, Mathematics or Bio-informatics. The degree should be supported by publications in renowned international journals. Experience:

  • Deep learning, preferably in healthcare.

  • Natural Language Processing

  • Big Data technology, e.g. Hadoop, Cloudera, Sparks, Impala.

  • Expert with data analytics tools and programming preferred, e.g. SPSS, SAS, Java, Java Script, Matlab, Python and R.

  • Clinical workflows or clinical decisions support.

  • Business intelligence. Competency and Skills:

  • Drive, entrepreneurial behavior, result oriented and quality driven.

  • Excellent communication skills.

  • Excellent logical reasoning and problem-solving skills.