About the role
Contributes to prompting, prototyping, building agents, scripting and data analysis Defines evaluation strategies, and creates the tests, datasets and LLM scorers needed to know whether a system is safe and working Collaborates with and bridges the gap between clinicians, researchers, product, designers, engineering, and partnership teams. Contributes to safety, ethics, and privacy policies, and identifies gaps in our tools, technologies and methods to ensure overall rigour. Contributes to the clinical direction of our team's efforts, bringing a clinician's judgement to what we build and in what order. Medical Degree with more than 2 years of associated postgraduate clinical experience Experience working in the health AI space (in academic or industry settings), including developing, evaluating, and deploying health AI products Hands-on AI engineering experience A track record of owning things end-to-end — founding or leading a project, company, charity, PhD, or wearing multiple hats at an early stage startup Comfort with ambiguity and uncertainty, and the ability to work at high speed with autonomy in a rapidly changing environment Pragmatism about when something is good enough to ship, and when it isn't Strong collaboration, communication and presentation skills Ability to produce high quality written and presentation materials with excellent attention to detail Higher degree (e.g. Masters or PhD) in a related field
