Machine Learning Scientist, Cleerly

• The position requires a minimum of a Ph.D. degree in Computer Science, Data Science, Biomedical Engineering, Biomedical Imaging, or a related technical field or a MS degree with 4 years of relevant experience
• Strong theoretical and practical background in image science, applied mathematics, machine learning, and deep learning
• Research experience in applying machine learning / deep learning in medical imaging processing, i.e. segmentation, registration, classification, reconstruction, detection, etc
• Strong track record of publications in top medical imaging or computer vision journals/conferences, i.e. Medical Image Analysis, MICCAI, IEEE TMI, CVPR, etc
• Strong skills in Python to access large amounts of data, execute multiple analysis steps, visualize intermediate and final results
• Ability to quickly translate clinical application requirements into machine learning solutions
• Demonstrated critical thinking and project management skills
• Excellent interpersonal skills, cross-group and cross-culture collaboration

Desirable

• Researching and developing prototypes of state-of-the-art machine learning models with applications in coronary CT angiography imaging
• Conducting analyses of the algorithms and prototypes being researched and developed
• Researching new methods of measuring and analyzing large and highly complicated data sets
• Working with engineers to deploy machine learning algorithms in clinical practice
• Presenting findings and recommendations to peers and other stakeholders
• Preparing patents and publications
• Managing collaborative research projects with key academic partners