Applied Scientist / Research Engineer (Internship)

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 Care coordination runs on shadow IT: spreadsheets, paper notes, phone calls, and outdated technology.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

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 Care coordination runs on shadow IT: spreadsheets, paper notes, phone calls, and outdated technology.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.

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.

• 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.

• 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.

• 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.

• 💰 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.