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Aptura

AI training for real-world tasks

Clinical AI Lead

Biology & BiotechConfirmed live in the last 24 hours
Full-timeLondon, UKNo salary listed

About the Job

Requirements

  • The candidate must be a qualified medical doctor with a minimum of one year of clinical experience.
  • The candidate must have strong organisational skills and be able to manage multiple projects and competing priorities simultaneously.
  • The candidate must be able to context-switch between clinicians, customers, projects, and operational responsibilities without losing pace or attention to detail.
  • The candidate must be proactive and self-directed, and comfortable operating while processes are still being defined.
  • The candidate must have strong research skills, be able to critically appraise academic papers, and publish benchmarks.

Responsibilities

  • Stay up to date with academic literature on artificial intelligence in healthcare.
  • Design benchmarks and publish research.
  • Build relationships with researchers and industry partners.
  • Grow the healthcare expert network.
  • Handle onboarding, timely communications, and payouts for healthcare experts.
  • Explore creative ways to engage more clinicians through hackathons, platforms, and in-person events.
  • Support commercial and partnership activities, including setting up go-to-market motions and outreach initiatives.

Desired Qualifications

  • Previous experience in industry, a startup, a scale-up, or a similarly high-paced setting.
  • Familiarity with data annotation or labelling and with designing and developing evaluations for artificial intelligence models.
  • A track record of publishing research and working with academic institutions.
  • Experience in a client-facing, commercial, or business development role.

About the Company

Aptura

AI training for real-world tasks

Aptura trains and evaluates AI to master real-world tasks in finance, healthcare, and legal. It designs data-driven training pipelines and domain-specific evaluation benchmarks to teach and test AI models on practical workflows. It distinguishes itself by focusing on regulated, high-stakes industries and validating performance with rigorous benchmarks before deployment. Its goal is to help organizations deploy AI that reliably understands and executes essential tasks in these sectors, improving accuracy and compliance.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Not listed
Founded
Not listed

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