The role involves staying up to date with the latest published literature for AI in healthcare. You will play a key role in designing and publishing benchmarks in collaboration with stakeholders. It also involves being a part of initial customer conversations and sourcing the right clinician. This role carries breadth and real ownership from day one with the unique opportunity to work directly with some of the world’s leading AI labs. You will work directly with the Head of Healthcare, Dr Abdul Rahyead (former NHS doctor and ex-founder).
Responsibilities
Research: Staying up to date with academic literature, designing benchmarks and publishing research, building relationships with researchers and industry partners.
Community Building: Growing the healthcare expert network, handling onboarding, maintaining timely communications and payouts for experts. Exploring creative ways to engage more clinicians through hackathons, platforms and IRL events.
Business Development: Support commercial and partnership activities, including setting up GTM motions and outreach initiatives.
Required skills
Strong organisation skills with the ability to manage multiple projects at the same time and competing priorities.
Ability to context-switch between clinicians, customers, projects and operational responsibilities without losing pace or attention to details.
A proactive, self-directed working style, comfortable operating in an environment where the processes are still being defined and the playbook is being written in real-time.
Strong research skills, able to critically appraise academic papers and publish benchmarks.
Preferred skills
Previously worked in industry or a startup, scale-up or similarly high-paced setting.
Familiarity with data annotation/labelling, designing and developing evals for AI models.
Track record of publishing research and working with academic institutions.
Experience in a client-facing, commercial or business development role.
Experience and education
Qualified medical doctor with a minimum of 1 year clinical experience.
Thriveth makes AI data-training work easier to find, understand, and navigate. We replace uncertainty with clear opportunities, realistic expectations, and insights from real application journeys.