About the Opportunity

As a Data scientist, you will be working on analyzing, developing, and translating state-of-the-art machine learning models to generate direct impacts on the care pathway of heart disease diagnosis and prognosis. You’ll be working with other data scientists, data engineers, biostatisticians, regulatory team members, and senior leadership to understand clinical requirements, develop novel solutions, and support product release and regulatory activities. You will also work closely with the world’s renowned research labs on research collaborations. 

Salary: $140,000 - 190,000

Responsibilities

• 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

Requirements

• 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

Impress us more…

• 2+ years of postdoctoral experience 
• Experience in developing and applying state-of-the-art deep learning models, e.g. vision transformer, LSTM, semi-supervised machine learning, incremental or continuous learning techniques, etc.
• Strong knowledge of CT imaging