Virdx is the virtual diagnostics unit of QuantCo. We are hiring a full-stack software engineer to help us create state-of-the-art medical imaging applications. Virdx is making non-invasive, dignified, and actionable cancer diagnostics a reality by using cutting-edge MRI acquisition and analysis. Our current focus is on improving prostate cancer diagnosis, the most frequent and second most deadly cancer affecting men in the USA.

About QuantCo

At QuantCo, we leverage expertise in data science, engineering, and economics to help organizations turn data into decisions. Started by 4 PhDs from Harvard and Stanford, we are now more than 180 professionals with extensive quantitative, engineering, and business experience. We are globally distributed with offices in Berlin, Boston, Cologne, Karlsruhe, London, Munich, San Francisco, and Zurich.

Our solutions include algorithmic pricing, data-driven claims management, and high-dimensional forecasting systems. Our customers include some of the largest financial, retail, and healthcare organizations in the US and Europe. We impact core business processes and decisions by combining advanced data-driven insights with scalable engineering solutions.

We are excited about writing mission-critical code that affects millions of people and impacts billions of dollars. If you feel the same way, we look forward to hearing from you.

QuantCo does not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

What you will do:

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.

Who we are looking for:

You want to create something meaningful and own every step of that creative process to turn ideas into reality.

You have delivered a complete medical imaging project or product that leveraged your expertise in building frontends and backends.

You have experience working with WebGL or libraries that wrap its functionality such as Three.js to display medical imaging data.

You can navigate complex codebases quickly and can efficiently switch between writing TypeScript and Python code.

You recognize good UI design and think carefully about how to implement UI’s that meet high standards.

You should have expertise in these areas:

Node.js: working with module bundlers, UI development servers, and API frameworks.

TypeScript: to create UIs, frontend utility libraries, and backend services

React and Tailwind: Your go-to combo for UIs and consistent styling.

Python: To create backend services and utility packages that others rely on. You should also be comfortable working within the Conda ecosystem.

What we offer:

Join an exciting, early-stage, and fast-paced team working on the frontiers of medical research and machine learning.

Be part of a company that’s wholly mission-driven: We are engineers, scientists, medical doctors, and healthcare executives, driven to bring meaningful change to an entire industry.

We offer a generous compensation package that includes a base salary, bonus, and additional location-based benefits.

Full-Stack Software Engineer for Medical Imaging

What you will do:

Who we are looking for:

You should have expertise in these areas:

What we offer: