As a Medical AI Scientist, you will join Scarlet’s Devices function to critically evaluate AI/ML performance testing, datasets, and clinical evidence for breakthrough medical software. You’ll determine if technologies meet rigorous safety standards, bridging the gap between cutting-edge AI research and real-world clinical benefits to enable faster market access for life-saving innovations.
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Medical AI Scientist at Scarlet
Join Scarlet, the government-authorized authority revolutionizing how medical AI reaches patients. As a Medical AI Scientist in London, you’ll evaluate the world’s most innovative AI devices, ensuring safety and performance for the next generation of healthcare. With £95k-£115k salary plus equity, you’ll join a high-growth team with massive traction and exponentially growing revenue. If you have a PhD in AI or Health Data Science and want to shape the future of regulated medical technology, this is your chance to make a global impact.
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Location
London, United Kingdom
Compensation
£95k-£115k + Equity
Company
Scarlet
Role overview
Software
Scarlet certifies AI products on behalf of governments.
Today, Scarlet specialises in the certification of software and AI as medical devices (SaMD and AIaMD). As the only Notified Body in Europe specialising exclusively in certifying software and AI, Scarlet accelerates the transition to universally accessible healthcare by enabling manufacturers to certify their medical devices efficiently and make frequent software releases. Scarlet provides dual UK and EU market access.
What you will do
- Critically evaluate AI/ML performance testing methodologies and statistical analyses to verify claims of clinical benefit and performance for innovative devices.
- Communicate complex AI and statistical concepts clearly to manufacturers, customers, and internal multi-disciplinary teams of clinicians and engineers.
- Represent Scarlet at major industry events and conferences while tracking the latest research in healthcare AI and LLM deployment.
Who this is a fit for
- Holds a PhD in AI in healthcare or a Master’s degree in Health Data Science or AI-focused medical statistics.
- Possesses professional experience evaluating AI/ML model performance metrics and training datasets within regulated or healthcare environments.
- Demonstrates the ability to critically assess statistical analyses and communicate technical findings to diverse, non-technical audiences with clarity and precision.
Why this role is remarkable
- You will serve as a pre-eminent authority, evaluating the world’s most advanced medical AI systems before they reach the general public.
- Join a high-growth company with proven product-market fit, flowing data, and exponentially growing revenue in a mission-critical sector.
- Impact global healthcare by accelerating the transition to universally accessible, safe, and effective AI-driven medical devices through groundbreaking regulatory approaches.
How Jack & Jill work together
I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
I recruit from Jack’s network and make the intro when I spot a great match.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
Meet Jack
What happens next?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If your profile’s a match and Scarlet wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.