Clinical imaging systems, 3D skin analysis software and research services
Canfield Scientific builds clinical imaging hardware and software, with a graphics-heavy C++/Qt and OpenGL stack extending to native iOS apps via Swift and Objective-C++. Early moves toward Vulkan and DirectX point to a rendering-engine modernization for its 3D imaging tools. Accelerating, engineering-led hiring alongside Selenium, Ranorex and Appium test tooling signals a push to automate QA for regulated medical mobile apps.
Canfield Scientific is a privately held imaging company founded in 1988 and headquartered in Parsippany, NJ, with 201–500 employees. It provides clinical imaging systems, image analysis, 3D and 2D simulation, body mapping and complexion analysis. Customers include medical practices and skin care professionals, plus pharmaceutical, biotechnology and cosmetics firms running clinical research. Alongside products, the company offers clinical services, including statistical analysis work supported by SAS. Current hiring is concentrated in the United States.
Canfield's stack centers on C++, Qt, OpenGL/GLSL and CMake for 3D imaging, Swift and Objective-C++ for iOS, Jenkins and GitLab CI/CD, Terraform, Ansible, Dynamics 365 and SAS.
Yes. Hiring is accelerating and engineering is the largest focus, with additional roles in healthcare, research, quality, product, manufacturing and sales, all in the United States.
Projects include 3D and mobile apps built with Qt and C++, iOS native integration via Swift and Objective-C++, clinical imaging platform development, and statistical analysis plans for studies.
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Canfield Scientific's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.