Degree in Biomedical Engineering
Algorithms, Data Analytics, Data Modeling, Data science techniques, Deep Learning, Design, Machine learning techniques, NumPy, Pandas, PyTorch, SciPy, TensorFlow
Philips has offerings spanning components, modules, systems, and turnkey projects where we deliver advanced solutions to health professionals to meet the needs of patients and to empower consumers for affordable healthcare whether in hospital or at home. Drive data science research/advanced development applied to one of the most meaningful and rapidly growing world-wide priorities – improving healthcare outcomes and costs through better clinical decision support. Our interests are in big healthcare data analytics, predictive modeling, precision medicine, and outcome management.
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About Philips:
We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help improve the lives of others.
If you’re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our commitment to diversity and inclusion here.
Koninklijke Philips N.V., commonly shortened to Philips, is a Dutch multinational conglomerate corporation that was founded in Eindhoven in 1891. Since 1997, it has been mostly headquartered in Amsterdam, though the Benelux headquarters is still in Eindhoven.
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