Clinical Engineer

About Anima

Hey! Shun here, I’m the CEO and co-founder of Anima. Our mission is to deliver precision medicine to everyone in the world in under 24 hours.

My entire life, I’ve been pulling on a thread that’s affected all of us in some way. Millions die every year because their medical problems aren’t treated quickly enough. Hundreds of millions suffer pain, worry and discomfort needlessly because of long waiting times. I trained as a doctor in the NHS and quit out of frustration at seeing countless cases of people dying because they got misdiagnosed or didn’t get the right care plan.

Seeing the problem space at all abstraction levels, including as a doctor and at the HM Treasury, convinced me that the only way to fix healthcare was to build a ‘Care Enablement’ platform that can automate and abstract away work at the clinic, and effectively 10x'ing the capacity of doctors. Doing so would also be the path to a superhuman personalised medicine agent that could go well beyond humans, crunching tens of thousands of low level features at genome and transcriptome level.

At Anima, you’ll help us extend the 3 existing product lines we have, that millions of patients use, and build out new ones at the very cutting edge of healthcare reinforcement learning and agentic AI.
Your work will save countless lives.

Ever feel like you're a 'flowchart robot' just following a pre-defined set of guidelines? Do you miss thinking creatively and imaginatively? Join Anima, and as a Clinical Engineer, you'll use your medical training every day to solve super interesting technical problems that will save lives - problems that only you, a Clinical Engineer with your medical knowledge,can solve.

Clinical Engineers need to have a medical degree. Otherwise, no specific experience, including coding, is required for this role. If you do not have coding experience, you will need to demonstrate high aptitude and a high growth gradient for it.

Today, there’s a lot of hype around ‘verticalized AI’ but when our journey started in 2021, people outside of the ML community barely knew or cared about active reinforcement learning. ChatGPT didn’t exist. I remember getting frustrated and thinking… ‘don’t you get how big of a deal this is?!’

Since Day 1 (as written in our YC application), we’ve been building towards the holy grail of personalised medicine and deep phenotyping, powered by our proprietary active learning architecture. As I said earlier, I actually submitted a 2021 patent that was prescient for the sparse MoE and active learning loop that is commonplace today with LLMs. We’ve been building and building towards this secret plan this whole time, and now have one of the biggest, highest quality labelled datasets in the world.

When everyone is technical and make great decisions, it’s much easier to stay on the same page & execute rapidly.

Here are 2 concrete examples with specs and timelines (we’d be delighted to demo any of these to you):

• Alex, a clinical engineer, 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, picking up a large set of new technologies on the way (ground up built from low-level services like Appsync, Graph
  
  QL, not Twilio).

• Dennis built a lightning fast cloud document library for clinics in a few days, with