The Senior Algorithm Scientist will be responsible for the design and implementation of image processing algorithms for ophthalmic diagnostic devices and applications. This role will develop prototype algorithm/software to facilitate clinical research and evaluate clinical images/data to assess feasibility and optimize algorithm. The Senior Algorithm Scientist will also develop algorithm and support feasibility evaluation for prototype and commercial systems development.
Additionally, this position will interface with various R&D engineers and scientists with a wide array of backgrounds as well as interacting with clinical and scientific collaborators from within and outside of the company.
Plan, design, implement, and optimize algorithms for ophthalmic imaging systems according to customer requirements.
Design advanced, reliable, and efficient algorithms for registration, segmentation, analysis, classification, and visualization of medical imaging data.
Implement, integrate, optimize, and verify algorithm performance following company’s product development SOPs.
Plan, design, and implement new features and functions in prototype software or in product software according to marketing and clinical research requirements.
Collaborate with other groups to resolve algorithm and software issues.
Interact with outside scientific and clinical collaborators to manage ongoing algorithm development/feasibility evaluation activities
Develop intellectual properties for new algorithms and new features.
Ph.D. degree in Computer Science, E.E., or Biomedical Engineering.
2 years of experience in industry or academia desired in developing algorithms in image processing, analysis, classification, and related applications.
Strong C++ programming skills and familiar with IPP libraries and MFC environment.
Proficiency in developing multi-threaded applications.
Experience in machine learning algorithms and techniques.
Knowledge of medical image analysis, preferably in the field of ophthalmology.
Knowledge of algorithm optimization, high performance computing, and statistics.
Familiarity with software development process for medical devices.
Strong analytical and problem solving and debugging skills.