At a Glance
- Tasks: Design and evaluate machine learning models to improve healthcare admin processes.
- Company: Join a fast-growing startup revolutionising healthcare with AI solutions.
- Benefits: Competitive salary, health insurance, mentorship, and 25 days holiday.
- Other info: On-site role in central London with excellent career growth opportunities.
- Why this job: Make a real impact on patient care while working with cutting-edge technology.
- Qualifications: Experience in Python and machine learning; eager to learn and collaborate.
The predicted salary is between 22500 - 27500 £ per year.
About Frontier Health
Frontier Health is building the system of action for healthcare: end-to-end AI co-workers that perform administrative jobs. Healthcare has an administrative crisis breaking patient care — the WHO predicts a 10 million person workforce shortfall by 2030. Administrative staff are the invisible machinery powering healthcare systems, yet they're over capacity, under-resourced, and underfunded. Care coordination runs on shadow IT: spreadsheets, paper notes, phone calls, and outdated technology. Frontier's AI co-workers fast-track the admin behind care decisions, designed to slot into the teams, processes, and tools already in place. Founded 18 months ago, we've experience deploying to over 40 hospitals. The team comes from Palantir, Google DeepMind, and Apple. We've raised $16M and were recently valued at $60M, backed by Tier One UK and international investors.
We’re an in-person company, valuing being in the office (Farringdon/Chancery Lane) 5 days a week, or onsite with the customer (as required). We’re also flat, valuing ownership and impact of hierarchy, process and structure. You’ll be collaborating with people across engineering and business functions, with functional leadership, where required, and close and regular touchpoints with the CEO.
Values
- Outcome Orientation — we focus on results and delivering value to customers
- Grit — we stick with hard problems and see them through
- Kindness — we presume best intentions and treat each other with respect
- Bias to Action — we prioritise forward momentum and proactive problem-solving
Duration: Flexible (10–12 weeks) · Start date: Flexible
Role summary
We're looking for an Applied Science / Research Engineer Intern to work shoulder-to-shoulder with our research team on live problems in healthcare AI. You'll own a research question end to end — from framing it, to the data, to a solution that works. You'll have the chance to see your work deployed into live systems that reach real patients and impact lives. This is hands‑on from day one. No busywork, real responsibility, and direct access to senior researchers and impactful problems. This position is on‑site in our London office.
What you'll do
- Design, build, and evaluate machine learning models on real healthcare administrative and pathway data.
- Generate and curate data for training, working on evaluations and making sure the model’s performance beats expectations.
- Develop the necessary tools and frameworks to facilitate data generation, model training, evaluation and deployment.
- Collaborate with cross‑functional teams to tackle complex use cases using agents.
- Work closely with research and engineering to get your work from notebook to live NHS environment.
About you
- You write clean, readable Python and can find your way around a real codebase with little hand‑holding.
- You have a solid grounding in machine learning fundamentals and the instinct to work problems out yourself.
- You're comfortable with modern ML frameworks (PyTorch, scikit‑learn).
- You don't wait to be told what to do — you spot the next question and go after it.
- You're rigorous: you care about the quality of outputs and the safety of your users.
- Low‑ego, collaborative, and eager to learn.
- You have a track record of doing good work — in personal projects, research, or industry.
It would be great if
- You're pursuing a Master's in a relevant field (computer science, machine learning, statistics, biomedical engineering, or similar) — but if you're an exceptional candidate from a different background, you should apply.
- You've worked with healthcare, clinical, or biomedical data before.
- You've contributed to a codebase used by others, in open source or industry.
We warmly welcome applicants of every gender, background, and life experience.
Benefits
- Competitive salary
- Work that reaches real patients in live NHS settings
- Direct mentorship from senior researchers on a small, high‑bar team
- Experience working at a small, accelerating startup
- On‑site in central London (Farringdon/Chancery Lane), in the room where the work happens
What we offer
- Visa sponsorship: we are able to sponsor visas if required.
- Benefits: Health Insurance, Pension, Monthly Team Socials, Enhanced Parental Leave, Snacks
- Holiday: 25 days holiday + UK bank holidays
Expectations: we work from the office (Farringdon/Chancery Lane), or customer site (as needed) 5 days a week.
Applied Scientist / Research Engineer (Internship) employer: Frontier Health
Frontier Health is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the healthcare sector. With a strong focus on employee growth, you will have access to continuous learning opportunities and the chance to make a meaningful impact by developing cutting-edge AI solutions. Located onsite, you will enjoy a supportive environment where your contributions directly enhance the efficiency of healthcare administration.
StudySmarter Expert Advice🤫
We think this is how you could land Applied Scientist / Research Engineer (Internship)
✨Join Data-Science Meetups
Get yourself along to local data-science meetups or workshops. They're goldmines for networking, and you'll learn from industry pros who might just point you in the direction of internships. Plus, discussing the latest trends with like-minded individuals can really amp up your game.
✨Utilise University Career Services
Check in with your uni's career services since they often have connections with companies looking for interns. They might even organise information sessions with firms, which can be a great chance for you to learn more about potential internships and make some key contacts.
✨Show Off Your Stuff on GitHub
If you're into data science, having a GitHub profile with your projects is essential. Make sure your portfolio is public and showcases your best work! Recruiters love to see your coding skills and problem-solving approach, and it’s a brilliant way to stand out.
✨Apply Directly on Our Website
Don’t forget to check out the internships listed on our site! It's always a good idea to apply directly through our website because it makes your application easier for our team to find, and you might just catch the hiring manager’s eye by showcasing exactly what you're passionate about in data science.
We think you need these skills to ace Applied Scientist / Research Engineer (Internship)
Some tips for your application 🫡
Show Off Your Technical Skills:For a data science internship, we want to see those analytical skills shine! List your programming languages, like Python or R, and make sure to highlight any relevant projects or courses you've completed. If you've dabbled with tools like Pandas, NumPy, or machine learning algorithms, don’t hold back – include those in your CV!
Share Your Curiosity in Your Cover Letter:As an intern, your motivation and eagerness to learn are key! In your cover letter, talk about specific data science concepts that excite you and how this internship at Frontier Health will help you grow. Share what you hope to achieve and how you plan to tackle real-world data problems - we love enthusiasm!
Include Any Relevant Certifications:If you've earned any certifications, such as from Coursera or DataCamp, make sure to include these in your application. They show us that you're proactive and committed to expanding your data science skillset. This could make a real difference in how we assess your application!
Keep It Relevant and Concise:Remember, as an intern, you don’t need to have decades of experience. Focus on showcasing relevant coursework, personal projects, or even related volunteer work in data science. Keep your CV and cover letter concise but impactful – we appreciate clear and straightforward communication!
How to prepare for a job interview at Frontier Health
✨Brush Up on Your Coding Skills
As a data science intern, you might get grilled on your programming skills. Expect to tackle some coding challenges using languages like Python or R. We recommend practising basic algorithms or data manipulation tasks so you can show off your tech skills with confidence.
✨Show Off Your Projects
Prepare to discuss any projects you’ve done, whether in your studies or on your own time. Having a strong portfolio of data analyses or machine learning models will really set you apart. We can use platforms like GitHub to showcase your work to impress Frontier Health.
✨Know Your Stats and ML Basics
Brush up on your statistics and machine learning concepts because interviewers love to dig into this! Be ready to explain your understanding of algorithms or how you would approach a given data problem. This will highlight your theoretical background alongside your practical skills.
✨Be Eager to Learn and Adapt
Internships are all about potential and growth. Make sure you convey your eagerness to learn and adapt to new tools or methodologies. Show Frontier Health that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
