Medical AI Scientist (£95K – £115K + Equity) at government-authorized medical AI certification [...] in London

Medical AI Scientist (£95K – £115K + Equity) at government-authorized medical AI certification [...] in London

London Full-Time 95000 - 115000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Evaluate cutting-edge medical AI devices and ensure their safe market entry.
  • Company: Join a government-authorized platform transforming healthcare access with AI.
  • Benefits: Competitive salary, equity options, and the chance to impact global healthcare.
  • Other info: Collaborate with a multidisciplinary team in a high-growth startup environment.
  • Why this job: Make a real difference in healthcare by authorising groundbreaking AI systems.
  • Qualifications: PhD in Healthcare AI or Master’s in Health Data Science required.

The predicted salary is between 95000 - 115000 £ per year.

Salary: £95K – £115K + Equity

Location: London, UK

Company Description: Government-authorized medical AI certification platform accelerating healthcare access.

Job Description: You will serve as a critical technical authority evaluating the next generation of medical AI devices. By assessing model performance, datasets, and clinical evidence, you will ensure bleeding-edge technologies reach patients safely. This role bridges the gap between innovative AI research and regulatory approval within an exponentially growing, revenue-generating healthtech leader.

Why this role is remarkable:

  • Direct impact on global healthcare by authorizing the market entry of groundbreaking medical AI systems for world-class clients.
  • Join a high-growth startup with proven product-market fit, significant revenue traction, and a mission-critical role in the healthcare ecosystem.
  • Work at the intersection of clinical medicine, advanced AI, and regulation alongside a multidisciplinary team of clinicians and expert engineers.

What You Will Do:

  • Critically evaluate AI/ML performance testing methodologies and datasets to verify clinical benefit and performance claims.
  • Communicate complex statistical and machine learning concepts to manufacturers, internal teams, and non-technical stakeholders.
  • Represent the organization at global conferences and monitor the latest healthcare AI research to drive internal system improvements.

The ideal candidate:

  • Holds a PhD in Healthcare AI or a Master’s in Health Data Science with a strong focus on medical statistics.
  • Proven experience evaluating AI/ML model performance metrics and training datasets within regulated or clinical environments.
  • Expert ability to critically assess statistical analyses and articulate scientific positions on model validation and bias frameworks.

Medical AI Scientist (£95K – £115K + Equity) at government-authorized medical AI certification [...] in London employer: Jack & Jill

As a government-authorized medical AI certification platform based in London, we offer an exceptional work environment that fosters innovation and collaboration at the forefront of healthcare technology. Our employees benefit from competitive salaries, equity options, and the opportunity to make a direct impact on global healthcare by authorizing groundbreaking medical AI systems. Join our dynamic team where you will engage with multidisciplinary experts, enjoy a culture of continuous learning, and have access to significant growth opportunities within a high-growth startup.

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Contact Details:

Jack & Jill Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Medical AI Scientist (£95K – £115K + Equity) at government-authorized medical AI certification [...] in London

Tip Number 1

Network like a pro! Reach out to professionals in the medical AI field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream job.

Tip Number 2

Show off your expertise! Prepare a portfolio or presentation that highlights your experience with AI/ML performance testing and clinical data. This will help you stand out when discussing your qualifications in interviews.

Tip Number 3

Practice makes perfect! Conduct mock interviews with friends or mentors to refine your ability to communicate complex concepts clearly. We want you to feel confident when explaining your insights to non-technical stakeholders.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!

We think you need these skills to ace Medical AI Scientist (£95K – £115K + Equity) at government-authorized medical AI certification [...] in London

Medical AI Evaluation
AI/ML Performance Testing
Clinical Evidence Assessment
Statistical Analysis
Model Validation
Bias Frameworks
Communication of Complex Concepts

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Medical AI Scientist role. Highlight your experience with AI/ML performance testing and any relevant projects that showcase your skills in evaluating datasets and clinical evidence.

Craft a Compelling Cover Letter:Your cover letter should tell us why you're passionate about healthcare AI and how your background aligns with our mission. Don’t just repeat your CV; use this space to share your unique perspective and experiences.

Showcase Your Technical Skills:We want to see your technical prowess! Include specific examples of how you've assessed model performance or communicated complex concepts to non-technical stakeholders. This will help us understand your expertise in the field.

Apply Through Our Website:For the best chance of success, make sure to apply through our website. It’s the easiest way for us to keep track of your application and ensures you’re considered for this exciting opportunity!

How to prepare for a job interview at Jack & Jill

Know Your Stuff

Make sure you brush up on the latest trends in medical AI and machine learning. Familiarise yourself with the specific methodologies and datasets relevant to the role. Being able to discuss recent advancements or challenges in the field will show your passion and expertise.

Communicate Clearly

Since you'll be explaining complex concepts to non-technical stakeholders, practice simplifying your language. Prepare examples of how you've successfully communicated intricate ideas in the past. This will demonstrate your ability to bridge the gap between technical and non-technical audiences.

Showcase Your Experience

Be ready to discuss your previous work evaluating AI/ML performance metrics. Use specific examples from your experience that highlight your critical assessment skills and understanding of model validation. This will help the interviewers see how you can contribute to their mission.

Engage with Their Mission

Research the company’s impact on global healthcare and be prepared to discuss how your background aligns with their goals. Showing genuine interest in their mission will set you apart and demonstrate that you're not just looking for any job, but this job.