Research Scientist
Oakland, NJ

About $89,000 - $120,000 a year

Topcon Medical Systems (TMS), based in Oakland, NJ, is a leading developer and supplier of diagnostic equipment for the ophthalmic community.

Topcon's mission is to make impossible ideas possible, by constantly developing new optical and measurement technologies. Our goal is simple: to provide you with the most innovative equipment so that you can better serve your patients.

For over 40 years, TMS has been leading the way with the most technically advanced instrumentation in the marketplace. Our product line comprises the largest selection of precision instruments from one manufacturer ... providing products for a wide range of applications, including imaging, diagnostic, refractive, surgical, and delivery. Whatever your particular instrument requirements, Topcon has the innovative solution you need.

All of our products are developed with the practitioner's needs in mind and backed up by a network of dedicated service specialists.

Topcon Medical Systems is a wholly owned subsidiary of Topcon Corporation of Tokyo, Japan.

We seek a highly motivated image processing and quantitative analysis research scientist to work creatively within a dedicated R&D team in providing cutting-edge technologies and contributing to interdisciplinary projects. This position involves both basic and applied research and supports development of advanced imaging technology and commercial ophthalmic devices. The successful Research Scientist is responsible for providing solutions based on image processing and quantitative analysis, validation of results using large number of medical datasets, and is expected to participate in software development projects.

Design and develop image processing algorithms for automatically detecting and evaluation disease to aid Doctor’s diagnosis
Evaluate algorithm performance and perform improvement development based on large amount of clinical datasets
Prioritize multiple tasks and contribute to achievement of technical milestones

Education & Experience:
The ideal candidate will have theoretical knowledge and expertise in image processing, algorithm validation, as well as the ability to generate C++ code.

PhD or MS in Biomedical Engineering, Electrical Engineering, Computer Science, or Computer Engineering.

1 to 5 years industry experience or equivalent laboratory experience preferred

Hands-on experience with image processing required, especially in image segmentation, registration, feature detection, image enhancement or analysis.

Expertise in C/C++, Matlab and OpenCV preferred.

Experience with ITK and VTK preferred. Experience with IPP and/or MKL preferred.

Experience in C/C++ GUI framework, such as MFC and WinAPI preferred.

Excellent communications and documentation skills. A high level of creativity and self-motivation, team player.