I quit medicine because I kept watching patients die needlessly, for avoidable reasons. In almost every case, the medical knowledge and clinicians were there. It was the system that failed: the way information moved, decisions got routed, and fragmented teams and data turned solvable problems into tragedy.

I started Anima to change that.

Our mission is human wellbeing, and we believe personalised medicine will transform it. Our founding insight is that getting there requires a system that learns continuously from care and its outcomes, optimising for human wellbeing. Building that learning engine is the opportunity at the heart of Anima.

We're now in 1,000+ clinics across 4 product lines, serving more than 25% of the UK population. We are cash flow positive, growing fast, and have a tight crew of ~45 people who care deeply for each other and the mission. Everyone has real ownership and a voice in decisions.

Multiple trillion-dollar companies will be built in healthcare over the next two decades. We intend to be one of them.

If you want to work on problems where the stakes are high, you belong at Anima. Your work here will save lives.

-Shun

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.

We’re looking for someone who

Has a track record of relentless shipping.

Has proven ability to navigate ambiguity and tackle novel technical challenges from conception to production.

Has strong CS Fundamentals. A deep understanding of data structures, algorithms (e.g., breadth-first search), and first-principles thinking to solve complex product problems.

Is expert-level in TypeScript (TS). Proficiency in building type-safe, scalable applications. You are a full-stack expert in the JavaScript/Node.js ecosystem with a pragmatic approach to tech debt and tool selection.

Has hands-on expertise with React, Angular, or Node.js, with the ability to move between frontend and backend as needed.

Has experience architecting on AWS (specifically Lambda, DynamoDB, SQS, and CloudFormation) or a proven "hungry to learn" mindset regarding serverless infrastructure.

Is disciplined towards best practice version control, CI/CD and code extensibility. Values interface safety through dimensionality reduction at interfaces.

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.

We hire at all levels: our team has new grads and product leaders with 20 years experience.

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.