If you are a Colorado resident and this role is a field-based or remote role, you may be eligible to receive additional information about the compensation and benefits for this role, which we will provide upon request. You may contact 888-367-7223, option 5, for assistance.
In this role, you have the opportunity to
Use modern data science tools and methodologies to support development of clinical knowledge and insights from the very large sets of clinical and behavioral healthcare data for our Sleep and Respiratory Care organization. These insights will shape the creation of clinical proof points, marketing claims, whitepapers, peer reviewed journal papers, and support the development of clinical Machine Learning and AI algorithms to enhance the capabilities of Philips Sleep and Respiratory Care's patient management software suite.
You are responsible for
Data extraction from sizable relational and NoSQL databases
Implementing a wide variety of analytics concepts and techniques such as experiment/study design, descriptive/inferential statistics, feature engineering, classification, regression, etc.
Designing advanced data visualizations
Collaborate with Philips clinical teams and external researchers co-authoring white papers, peer-reviewed journal articles and conference abstract submissions
Mentoring/leading junior team members
You are a part of
Philips’ Sleep and Respiratory Care organization. We are passionate about improving quality of life with solutions designed around the needs of customers and their patients. Innovation is driven by gaining insight to the people who use our sleep and respiratory solutions and what they need most. This tradition of innovation, combined with our ability to anticipate market needs, has made Philips a global leader in the markets we serve. Our mission is to improve the quality of life for consumers and patients through better awareness, diagnosis, treatment, monitoring, and management of their conditions.
To succeed in this role, you should have the following skills and experience
Bachelor’s or Master’s degree in data science, mathematics, statistics, computer science or similar technical discipline or equivalent experience
7+ years of related industry experience in a data science, analytics, deep learning, artificial intelligence/machine learning capacity
Demonstrated experience working with a variety of databases such as SQL, MongoDB or Postgres
Strong scripting experience with R or Python
Ability to work with cross-functional teams expected
Proven ability to be an independent thinker who can manage complex projects
Strong communicator with influencing skills who is able to work with all levels of the organization
Experience developing predictive or statistical models such as regressions, decision trees, neural networks, simulations and/or optimizations
Experience with the following is not required, but strongly preferred
Experience working in the healthcare or health technology domain with knowledge of HIPAA and GDPR regulations
Knowledge of respiratory disease states
Experience working with AWS or similar cloud platforms
In return, we offer you
Sharpen your talents with new challenges in our dynamic organization. As a market-driven company, we’re used to listening to our customers & apply the same thinking to our employees. We offer a competitive salary, outstanding benefits and flexibility in a career with a positive and supportive atmosphere in which to develop your talents further.
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.
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.
It is the policy of Philips to provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to race, color, ethnicity, religion, gender, pregnancy/childbirth, age, national origin, sexual orientation, gender identity or expression, disability or perceived disability, genetic information, citizenship, veteran or military status or a person’s relationship or association with a protected veteran, including spouses and other family members, marital or domestic partner status, or any other category protected by federal, state and/or local laws.
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.
Equal Employment and Opportunity Employer/Disabled/Veteran
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