Data Scientist - AI/ML

Overall responsibilities

• Provide support with guidance to solve complex problems in medical image processing and deliver PoC with TRL level ready for NPI program.
• Support collaboration with clinical scientists, AD leader and universities to drive advanced development projects on medical image analytics from R&D perspective.
• Support NPI development and address time-pressing complex LCM challenges with image processing / IQ using expertise.
• Higher degree of learning attitude to absorb newer knowledge on medical image pre- and / or post-processing.

Specific responsibilities

Hands-on work in some of the following tools, packages, technical areas and modeling techniques:

• Keras, Tensorflow, Pytorch, Scikit-learn, Scikit-image, OpenCV, pydicom
• Matlab, python, R, Java/C/C++
• Convolution Neural Networks, other statistical modeling & classification approaches (regression, SVM, PCA)
• Opensource medical image visualization and segmentation tools like ITK, VTK
• Medical image post-processing techniques such as noise reduction, contrast enhancement, bone suppression, stitching, ranging. Knowledge of overall IQ (image quality) analysis of diagnostic X-ray images is a plus.
• Medical image pre-processing (gain, offset correction, EMI/EMC correction)
• AI/ML modeling / computer vision using video from 3

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 the lives of others.

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• Discover our rich and exciting history.
• Learn more about our purpose.

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.