null In this role, you have the opportunity to
work with the most advaced team to develp an application for medical device industry
You are responsible for
Building knowledge and clinical network to accelerate the advancement of artificial-intelligence to support and improve radiology for patients and clinicians.
Working with clinicians to understand clinical workflow and systems for radiology or interventional procedures.
Driving the development, evaluation, and deployment of AI-enabled solutions for radiology applications.
Creating and maintaining an effective network with the clinical and IT stakeholders in clinical institutes.
Fostering a strong relationship with Radiology Solutions business and Philips Research to feed new requirements and develop new proof of concept tools.
Configure prototypes according to local clinical needs, including clinical documentation / reporting and adaptation to local clinical guidelines.
Collaborating with local IT department on the requirements, design and implementation of interfaces of the prototype to local hospital IT systems, including PACS, RIS, lab system and EMR.
Supporting integration of prototypes into local hospital IT infrastructure.
Playing a crucial role in developing high quality and impactful solutions, that are representative of Philips.
To succeed in this role, you should have the following skills and experience
PhD/M.S. in clinical informatics, computer science, biomedical engineering or equivalent
Research experience in building, training and validating image-based pattern recognition / classification algorithms using deep learning, convolutional neural networks, transfer learning and pre-trained networks
Knowledge of deep learning neural network packages and hardware/software (e.g. PyTorch, Keras, TensorFlow, Cuda, NVIDIA GPUs)
Strong domain knowledge with image processing (e.g. segmentation & quantification) and knowledge of the principles of medical image acquisition (X-ray, CT, MRI, Ultrasound) preferred.
Solid foundation in machine learning methodology, data analysis, and statistical methodology
Software development skills, including experience with software development lifecycle, and programming in Python, C++, C# or Java
Experience with healthcare information protocols, standards and systems, including IHE, HL7, DICOM, PACS, EHR, and RIS
Good analytic and problem solving skills. Pragmatism, goal-oriented thinking
Good communicative skills. Ability to maintain relationships with clinicians
Be able to work independently and as part of a larger data science team
Interest in solving multidisciplinary clinical challenges
Experience with class activation mapping, recurrent neural networks, and natural language process (NLP) highly desirable
Experience with technologies such as MongoDB, SQL, Spark, Hadoop highly desirable
In return, we offer you
A path towards your most rewarding career. Philips is growing its marketing capability enterprise wide. Succeeding in this market-based role in a complex environment 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 at http://www.philips.com/b-dam/corporate/corporateblog/2016/PhilipsChronicDisease_5.jpg . 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 at http://www.philips.com/a-w/careers/healthtech/working-at-philips/working-at-philips.html on our career website, where you can read stories from our employee blog at http://www.usa.philips.com/a-w/our-people/life-at-philips.html . Once there, you can also learn about our recruitment process at http://www.philips.com/a-w/careers/healthtech.html , or find answers to some of the frequently asked questions at http://www.philips.com/a-w/careers/healthtech/faq.html .