Stanford University's Personalized Integrative Medicine Laboratory and the Urologic Cancer Innovation Laboratory are seeking to develop a software platform to deploy existing ultrasound-MRI models for prostate cancer detection in clinical practices.
Requirements
- Prior experience in software and platform development and C++/python/docker/UIX programming
- Familiarity with toolkits, e.g., ITK, opencv, sklearn
- Prior experience with Designing User Interfaces, including image visualization and connect platforms with docker containers
- Experience in radiomics, segmentation, image registration
- Knowledge and experience in machine learning and deep learning, visualization, platform implementation
- Experience with medical image processing, and traditional signal processing techniques
- Experience with C++, Python, Docker, UIX programming
Responsibilities
- Design and develop specialized software and tools; coordinate detailed phases of work related to responsibility for part of a major project.
- Develop technical and methodological solutions to complex engineering/scientific problems requiring independent analytical thinking and advanced knowledge.
- Develop creative new or improved equipment, materials, technologies, processes, methods, or software important to the advancement of the field.
- Contribute technical expertise, and perform basic research and development in support of programs/projects; act as advisor/consultant in area of specialty.
- Provide technical directions to other research staff, engineering associates, technicians, and/or students, as needed.
- Contribute to portions of published articles or presentations; prepare and write reports; draft and prepare scientific papers.
- Manage complex multi-modal data sets including clinical assessments, laboratory results, radiological images and pathological findings, to develop a user-friendly software
Other
- Bachelor's degree and three years of relevant experience, or combination of education and relevant experience
- Preferred candidates will have an M.S. with relevant experience or Ph.D. in Biomedical Engineering, Electrical Engineering, Biomedical Informatics, Computer Science or related fields
- Demonstrated project management experience
- Thorough knowledge of the principles of engineering and related natural sciences
- Collaborative team spirit, strong communication skills, positive attitude and adherence to highest ethical principles
