IBM Watson Health is looking for talented individuals destined to usher in the next era of healthcare. We live in a moment of remarkable change and opportunity. The convergence of data and technology is transforming healthcare and life sciences organizations today. New opportunities are being created that never existed before to meet the demands of this transformation.
The Rapid Development Team is a team of Scientists and Cognitive Software Developers within IBM Watson Health Imaging. In collaboration with cross-functional Watson Health teams, IBM Research and external partners, the team develops cognitive solutions that combine imaging and clinical data to enhance clinical decision making. The team is responsible for developing and validating robust and scalable cognitive services (text analytics and image analytics) and applications, including validation and evaluation of technologies being transferred from Research and other collaborators. The team follows Agile and DevOps methodologies to enable rapid iteration and responsiveness.
We are looking for self-motivated and driven candidates that are passionate about working on cutting edge technologies and that thrive in a highly collaborative environment.
Development of web based applications for medical data analytics, data management and annotations
Implementation and maintenance of algorithm development workflows and environments based on best practices in deep learning
Implementation and maintenance of data storage and computing infrastructure workflows used for algorithm development
Design and development of robust algorithms and techniques using text analytics, image analytics, computer vision and machine learning
Development of criteria for testing algorithm and system’s cognitive performance objectively from end-user and market perspective
Performance evaluation and testing of algorithms and systems on test and real clinical data
Analysis of current programs including performance, diagnosis and troubleshooting of problems
Evaluation of algorithms and solutions to support technology transfer from collaborators to Watson Health Imaging’s Development teams
Support collection and annotation of data for algorithm development and evaluation
Integration of cognitive systems and components in Watson Health architecture, including Watson Health cloud
Support deployment of cognitive algorithms on Watson Health Imaging analytics platform
Collaboration with cross-functional and external teams, as well as clinical partners in support of Watson Health’s offering roadmap
Conduct product development in compliance with Watson Health’s methodology, practices and Quality Management system.
Required Technical and Professional Expertise
5 years’ experience in solving real-world problems using computer science such as data science and web development
3 years’ of experience in either Image Processing or Computer Vision
2 years’ of experience in Machine Learning algorithms, including deep learning and statistical models
Strong knowledge of medical imaging domain, experience with applying computer vision and machine learning algorithms to analysis of X-ray, CT, MR and/or Ultrasound, etc.
Strong programming skills with Python and experience with Deep Learning and Computer Vision packages such as Keras, Tensorflow and OpenCV
Preferred Tech and Prof Experience
Experience with full stack web application frameworks such as Ruby on Rails and Django
Expert knowledge of Linux, shell script and HPC resource managers such as SLURM
Experience with healthcare information protocols and common interoperability standards, such as WSI, DICOM, and PACS.
Demonstrated communication and cross-functional collaboration skills.
IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.