Clinical Engineer

TLDR

As a Clinical Engineer, you'll leverage your medical training to tackle novel technical challenges in healthcare using advanced AI and machine learning applications.

Hi, I’m Shun, founder and CEO of Anima. I left my career as a doctor because I was tired of seeing patients die from delays and misdiagnosis.

Our mission is to deliver precision medicine to anyone, anywhere, in under 24 hours. Our platform already serves millions of patients and 10xs the capacity of doctors. But the truth is, we’re just getting started. We’re building toward a superhuman, personalised medicine agent that could go well beyond humans, crunching tens of thousands of low level features at genome and transcriptome level.

We’re a tight crew of builders and operations working at the cutting edge of healthcare reinforcement learning and agentic AI, and we’re looking for exceptional people to join us. If you want your skills to have the highest possible stakes, you belong at Anima. Your work here will save lives. Period.

Do you want to build a product that will save lives?

Long before the "vertical AI" craze, we were obsessed with active reinforcement learning—a niche field in 2021 that the world, pre-ChatGPT, largely ignored.

Our trajectory has been unwavering since our YC application: achieving the "holy grail" of personalized medicine and deep phenotyping. This is powered by our proprietary active learning architecture - a system we codified in a 2021 patent that anticipated the Sparse Mixture of Experts (MoE) and active learning loops now foundational to modern LLMs.

While others are just arriving at the party, we’ve spent years executing a plan to build what is now one of the world’s largest, highest-quality labeled datasets. As a Clinical Engineer, you'll use your medical training to solve novel technical problems that will save lives.

We’re looking for someone who

  • Has a medical degree and can code.

  • Competent in TS and JS, with a track record of learning new languages.

  • Has experience with frameworks/libraries like Angular, Node and React.

  • Has experience with AWS (e.g. APIG, SQS, DynamoDB, Lambda, Cognito, Amplify, CloudFormation) and/or hungry to learn.

  • Is obsessive about UX and optimises for this over arbitrary technical goals.

  • Is driven, impatient to grow and wants their shot to change the world.

What to expect in the role

  • You’ll work with an incredibly smart team. Like Michael who built a working CPU from logic dates at age 16 and co-founded YC-backed Embark Trucks, the first self-driving vehicle on Canadian roads. Or Souradip, who built an acoustic fall detector using on-device deep learning; he’s also an MB/PhD from Cambridge who’s published in top medical journals.

  • You’ll own your projects end to end and ship fast. Like Alex who built ‘Slack for medical teams’ supporting 1000s of channels per organisation and a real time single source of truth for patient data in 4 weeks. Or Dennis who built and shipped a lightning fast cloud document library for clinics in a few days with <100ms traversals through preloading.

  • You’ll work on a well-established stack that’s already highly scalable, cost effective, secure and performant with minimal to zero ops.

  • You’ll learn new technologies; whatever is needed to solve the problem. We are tech agonistic, and collectively choose the best tools for the job. We’re constantly looking to maximise our productivity and minimise what we call “discounted dev time cost” for shipping features.

Our current stack

We have 2 separate fully functional web apps in prod: one for clinical users and one for patients. Our stack is currently entirely in JS/TS: Angular + Capacitor + Electron, React (internal tools), Amplitude (analytics), a fully serverless backend in AWS (Cognito, Appsync GraphQL, Lambda, DynamoDB). We have good functional & unit test coverage and CI/CD.

Anima builds advanced healthcare technology focused on precision medicine, ensuring that patients receive personalized treatments within 24 hours. Serving millions of individuals, the company leverages AI and machine learning to enhance patient outcomes and redefine healthcare access.

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