Overview

In this role, you have the opportunity to

Contribute to the research and development activities in the Artificial Intelligence (AI) group within the Acute Care Solutions Department of Philips Research North America. You will create innovative AI solutions to support knowledge discovery, decision-making, and attainment of optimal patient outcomes across the healthcare continuum.

You are responsible for

Development of novel algorithms and working prototypes / demos based on Natural Language Processing (NLP) and Deep Learning / Machine Learning techniques
Create solutions related (but not limited) to information extraction, automated question answering, and reasoning using structured / unstructured clinical data and biomedical literature, and other sources
Working closely with Philips Business Units to contribute to on-going Philips innovations in the healthcare space
Staying abreast on the existing literature to align, compare and contrast with the state-of-the-art techniques and algorithms
Prepare manuscripts for top quality AI / Machine Learning / NLP / Healthcare conferences and journals
Seizing opportunities to apply for internal and external research grants
Working closely with universities, scientific institutions, academic organizations and governmental resources in the capacity of collaborative relationships as needed
You are a part of

Philips Research is one of the world’s leading corporate research organizations and has a rich history of producing successful innovations in the area of health and well-being. Powered by the intellect and hard work of more than 1,600 talented individuals, we fuel value creation and growth in Philips by creating new technologies that improve people’s lives. Philips Research North America is one of Philips’ nine worldwide research laboratories where innovations and discoveries help drive Philips products and service opportunities. We are located in Cambridge, MA overlooking the Charles River, just walking distance from our collaborators at MIT.

Company:

Philips Research

Qualifications:

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

Ph.D. in Computer Science or related fields
Expertise in Artificial Intelligence (Deep Learning, Machine Learning, Natural Language Processing)
Proficiency in Python or Java programming languages
Database expérience (SQL, NoSQL, etc.)
Experience working in Unix/Linux environments
Experience with deep learning tools and frameworks (e.g. Keras, TensorFlow, Torch, PyTorch, Theano, Caffe etc.)
Ability to work within a team environment, and should be a quick learner and self-motivated with the ability to plan and execute
Ability to communicate effectively, both written and verbal
Familiar with clinical NLP along with medical terminologies and ontologies (e.g. SNOMED-CT, ICD 10 etc.) and data standards (e.g., FHIR, HL7, DICOM) is a strong preference
Experience in working with multi-modal and multi-source clinical data is a strong plus
Strong track record of scientific publications and presentations in top-tier scientific conferences
Proficiency in software engineering and architecture is a strong plus
Ability to bridge communication gaps between clinical practice and computer science along with an understanding of patient care workflow in a variety of clinical settings is a strong plus

Educational level:

Ph. D.

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