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.
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
In return, we offer you
We are happy to provide an opportunity to work with one of the strongest research labs in the world and deliver solutions will have a direct impact on patient care. You will be part of a flexible team of highly skilled professionals that are able to find an excellent work-life balance. Just think the solutions you develop will be designed to provide enhanced tools for the healthcare professionals and should lead to improved outcomes for the patients they are treating.
Why should you join Philips?
Are you passionate about having a career that will improve healthcare? Do you want your efforts to be more than a job? At Philips, it is a calling to build a healthier society through relevant work, passionate about improving 3 billion lives a year by delivering creative solutions across the health continuum. Our people experience a variety of unexpected moments when their lives and careers come together in substantial ways.
To find out more about what it is 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 .
It is the policy of Philips to provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, color, citizenship, disability or perceived disability, ethnicity, gender, gender identity or expression, genetic information, marital or domestic partner status, military or veteran status, national origin, pregnancy/childbirth, race, religion, sexual orientation, or any other category protected by federal, state and/or local laws. Philips is an equal employment opportunity and affirmative action employer Disability/Veteran.
As an equal opportunity employer, Philips is committed to a diverse workforce. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veterans' Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants that require accommodation in the job application process may contact 888-367-7223, option 5, for assistance.