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- Tasks: Assess clinical evaluations for innovative medical devices and create impactful content on clinical AI.
- Company: Scarlet, a pioneering medical AI certification platform backed by Atomico.
- Benefits: Competitive salary, equity options, and the chance to shape healthcare technology.
- Other info: Join a dynamic startup with industry pioneers and excellent growth opportunities.
- Why this job: Make a real impact in global healthcare by certifying cutting-edge medical AI systems.
- Qualifications: Degree in clinical medicine or related field with patient care experience and AI fluency.
The predicted salary is between 75000 - 90000 £ per year.
This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers. She will pick the best candidates from Jack's network. The next step is to speak to Jack.
Salary: £75K – £90K + Equity
Company Description: Scarlet - Atomico-backed medical AI certification platform
Job Description: Join Europe’s only Notified Body specialized in AI software. You will assess clinical evaluations for groundbreaking medical devices, ensuring innovative diagnostics reach patients safely. Working with world-class experts, you'll bridge the gap between clinical medicine and machine learning to shape the regulatory landscape for the next generation of healthcare technology.
Location: London, UK
Why this role is remarkable: Impact the global healthcare transition by certifying the world's most ambitious medical AI systems from top‑tier global companies. Join a high‑growth startup backed by Atomico ($17.5M Series A) with exponentially growing revenue and a unique market position. Work alongside industry pioneers like Camille Petri (ex‑Imperial AI researcher) in a multidisciplinary team of clinicians and engineers.
What you will do:
- Assess clinical evaluation processes and technical documentation for innovative medical devices, focusing on clinical studies and evidence.
- Create high‑impact content on clinical AI, biostatistics, and real‑world evidence to educate customers and the broader industry.
- Collaborate with Product and ML functions to improve Scarlet’s internal systems for automated and efficient device certification.
The ideal candidate:
- Holds a degree in clinical medicine, nursing, or epidemiology with at least two years of direct patient care experience.
- Possesses technical fluency in generative AI (LLMs).
Clinical Scientist ( + Equity) at Scarlet employer: Jack & Jill/External Ats
Contact Detail:
Jack & Jill/External Ats Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Clinical Scientist ( + Equity) at Scarlet
✨Tip Number 1
Network like a pro! Reach out to Jack and other connections in the industry. A personal introduction can make all the difference, so don’t be shy about asking for a chat or a coffee.
✨Tip Number 2
Prepare for that chat with Jack! Research Scarlet and their innovative work in AI. Show your passion for the role and how your experience aligns with their mission to impact global healthcare.
✨Tip Number 3
Be ready to discuss your clinical experience and how it relates to AI. Think of examples where you’ve bridged gaps in technology and medicine – this will impress them!
✨Tip Number 4
Don’t forget to follow up after your conversation! A quick thank-you note can keep you top of mind and show your enthusiasm for the role. Plus, it’s a great way to reinforce your interest in joining their team.
We think you need these skills to ace Clinical Scientist ( + Equity) at Scarlet
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Clinical Scientist role at Scarlet. Highlight your experience in clinical evaluations and any relevant work with AI technologies. We want to see how your background aligns with the innovative work we do!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the intersection of healthcare and AI. Share specific examples of your past experiences that relate to the job description, and let us know why you want to join our team.
Showcase Your Technical Skills: Since this role involves working with generative AI and technical documentation, make sure to showcase your technical fluency. Mention any relevant projects or tools you've used that demonstrate your ability to bridge clinical medicine and machine learning.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Jack & Jill/External Ats
✨Know Your Stuff
Make sure you brush up on the latest trends in clinical evaluations and medical AI. Familiarise yourself with the specific technologies and methodologies that Scarlet uses, as well as any recent advancements in the field. This will show Jack that you're not just interested in the role, but that you’re genuinely passionate about the industry.
✨Showcase Your Experience
Prepare to discuss your direct patient care experience and how it relates to the role of a Clinical Scientist. Think of specific examples where you've assessed clinical evaluations or worked with innovative medical devices. This will help you demonstrate your practical knowledge and how it aligns with what Scarlet is looking for.
✨Ask Insightful Questions
Come prepared with questions that show your interest in the company and the role. Ask about the challenges they face in certifying AI systems or how they envision the future of healthcare technology. This not only shows your enthusiasm but also helps you gauge if Scarlet is the right fit for you.
✨Be Yourself
While it's important to be professional, don’t forget to let your personality shine through. Scarlet is a high-growth startup, and they’ll appreciate someone who can bring a unique perspective to their team. Be honest about your motivations and what excites you about the opportunity to work with them.