Philips Research passionately lives Philips’ vision to improve the lives of 3 billion people a year by 2025 by striving to make the world healthier and more sustainable by means of innovation. Operating with a global footprint in international, multi-disciplinary networks at the forefront of innovation, Philips Research co-creates the future of Healthcare worldwide.
At our Research premises in Hamburg, strategically co-located with Philips’ global headquarters for the DACH (Germany, Austria and Switzerland) market organization, we concentrate our energy on facing the global trends of a rapidly growing, ageing population, the transformation towards value-based care and stringent demands on efficiency and quality improvements in healthcare.
We strongly play in all novel diagnostic and image-guided therapeutic fields across the health spaces of cardiology, oncology, respiratory diseases, neurology and fertility, pregnancy and parenting. We feel at home with novel hybrid and tomographic imaging techniques, medical image analysis, bio-mechanical/physiological modeling, computer assisted detection and clinical decision support systems.
For more insights into our mission, visit us at www.research.philips.com at http://www.research.philips.com/ .
We are currently encouraging applications of computer scientists eager to touch the lives of people around the world by addressing challenging, unmet needs in healthcare by means of innovative methods in data analytics.
As a data scientist, you will enable Philips and its customers to make the most out of their data. You will analyze diverse data sources with a broad range of tools and methods. In close collaboration with our business partners, you will co-create internal and customer-facing analytics solutions and evaluate them in the real world.
Drive the full data analytics stack: data exploration, preparation, modelling, visualization
Work with our business partners to transform their real-life challenges to analytics solutions
Develop front-end tools to demonstrate and evaluate your methods
Contribute to the field of data science, present your work at conferences and in journals and transfer research results into practical solutions
Your work in our team has a direct impact on how our customers und us operate. We practice an agile way of working that gives you great flexibility in how you approach your tasks. Applying your unique skills and realizing your own ideas is at the core of your work. As part of a large, global organization, you will have access to a wide range of knowledge and resources, which are hard to find elsewhere.
PhD in computer science, physics or engineering sciences
Proven capabilities in data handling, processing and visualization
Solution-driven mind set, willingness to engage in the subject matter of the task
Ability to independently develop innovative analytics algorithms
Knowledge of open source analytics and visualization tools (e.g. Python, d3)
Web programming skills
Knowledge in data modeling, databases, SQL
Proficiency in the English language
Philips encourages people with disability to apply.
Please upload your complete documents, incl. CV, diplomas, PhD and a list of your publications. Please apply only online and include in your cover letter your salary expectations and the earliest possible starting date/your period of notice.
As a company for health and wellbeing the compatibility of our employees’ professional and private life is an important aspect for Philips. Therefore we offer numerous services to support you for example "Kids and more" as part of our family services, the “Philips in Balance - health program”, as well as modern working time models.