QuantCo

Full-stack Engineer

• Contribute directly to our product UI by implementing new features and optimizing existing code – our clinical users will rely on the code you ship.
• Contribute to backend product services to orchestrate and implement RESTful APIs.
• Implement new GitHub Action workflows as project needs evolve, ensuring processes and feedback loops remain efficient.
• Build internal tooling that supports R&D workflows such as image viewing, annotation, and clinical data management – this includes creating crucial UIs and backend services that other team members will rely on.
• Support ongoing and upcoming clinical trials with custom data management and workflow tooling.
• Help ensure engineering standards meet our strict quality goals.

Full-Stack Software Engineer, Medical Imaging

Machine Learning Engineer

• Background: Virdx - the virtual diagnostics unit of QuantCo - is making non-invasive, dignified, and actionable tissue characterization for cancer detection and treatment a reality. Starting with prostate cancer - the most frequent and second most deadly cancer in men in the USA - Virdx is changing the paradigm for medical artificial intelligence. Virdx intends to replace the biopsy procedure with an imaging-based alternative that is free of side effects: An in vivo microscope for virtual biopsy procedures. In doing so, Virdx is solving a broad range of high-profile challenges in the fields of magnetic resonance physics, machine learning, and software engineering.
• Help us change medicine: Virdx aims to deliver fundamental changes to the way cancer is assessed. In its R&D effort, Virdx builds upon the principle of “novel data for novel algorithms.” This means that Virdx is optimizing MRI protocols, with a particular emphasis on diffusion imaging, to power algorithms that can fully replace physical biopsies.
• Your role: As a deep learning medical imaging specialist in Virdx, you will work with the team on a range of varied and ongoing medical imaging projects. You will apply your expertise to push the boundaries on performance in tasks such as registration, denoising, segmentation, and 3D scene reconstruction.

Full-Stack Software Engineer, Medical Imaging

Deep Learning Engineer, Medical Imaging