frontier-health - Applied Scientist / Research Engineer (Internship)

• 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. • 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.