Frontier Health
Applied Scientist / Research Engineer (Internship)
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Applied Scientist / Research Engineer (Internship)
Duration: Flexible (10–12 weeks) · Start date: Flexible
About Frontier Health
At Frontier Health, we believe the admin work no one sees is the work every patient depends on. Waiting, chasing, missed follow-ups, stalled appointments — this is where care breaks down, and it's what we're here to fix.
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 Care coordination runs on shadow IT: spreadsheets, paper notes, phone calls, and outdated technology.
We build Juno, a supportive AI teammate for healthcare administration. Juno automates the repetitive, high-volume work that slows care down — referrals, waiting lists, booking, chasing, tracking — across the systems healthcare teams already use, so staff can keep patients moving. We're already live in NHS environments, delivering value in real clinical settings.
We're a small, fast-moving team: low-ego, high-bar, and united by the belief that better technology means patients wait less and care keeps moving. Our team comes from Google, DeepMind, Palantir, and Apple.
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.
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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.
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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
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