At a Glance
- Tasks: Evaluate cutting-edge medical AI devices and ensure their safe market entry.
- Company: Join a government-authorized healthtech startup transforming global healthcare.
- Benefits: Competitive salary, equity options, and the chance to impact lives.
- Other info: Collaborate with a multidisciplinary team in a high-growth 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.
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 [...] 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. Our employees enjoy competitive salaries, equity options, and the opportunity to make a direct impact on global healthcare by authorizing groundbreaking medical AI systems. With a strong focus on employee growth and a multidisciplinary team culture, we empower our staff to thrive at the intersection of clinical medicine and advanced AI technology.
StudySmarter Expert Advice🤫
We think this is how you could land Medical AI Scientist (£95K – £115K + Equity) at government-authorized medical AI certification [...]
✨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 important it is to make connections that could lead to job opportunities.
✨Tip Number 2
Prepare for interviews by brushing up on your technical knowledge and being ready to discuss your past projects. We recommend practising common interview questions related to AI/ML performance and clinical applications to show you’re the right fit.
✨Tip Number 3
Showcase your expertise! Create a portfolio or a personal website where you can display your work, research, and any relevant projects. This gives potential employers a tangible sense of what you bring to the table.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. 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 [...]
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 makes you a perfect fit for this role. Don’t forget to mention any experience you have with regulatory environments or communicating complex concepts!
Showcase Your Technical Skills:In your application, be sure to highlight your technical expertise, especially in statistical analyses and model validation. We want to see how you can bridge the gap between innovative AI research and practical application in healthcare.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our growing team!
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. Highlight specific projects where you assessed model validation and bias frameworks. Use concrete examples to illustrate your impact and how your contributions led to successful outcomes.
✨Engage with the Team
Research the company’s multidisciplinary team and their backgrounds. During the interview, express your enthusiasm for collaborating with clinicians and engineers. Ask insightful questions about their current projects to show that you're genuinely interested in being part of their mission.
