Job description 

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.

Skills required to perform the job

Hands-on work experience of 4 - 7 years 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, VTKMedical image post-processing techniques such as noise reduction, contrast enhancement, bone suppression, stiching, ranging. Knowledge of overall IQ (image quality) analysis of diagnostic X-ray images is a plus.