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Abtrace

AI-powered primary care automation and monitoring

Digital Health Clinician - Product

PharmacyConfirmed live in the last 24 hours
Full-timeLondon, UK£40k - £60k

About the Job

Requirements

  • Have a clinical qualification, including a General Pharmaceutical Council-accredited pharmacy degree or equivalent qualification for a nursing, medical, or physician-associate background.
  • Have at least 2 years of post-qualification experience working in NHS General Practice.
  • Be able to prescribe in the current role.
  • Regularly attend the London Paddington office 2 days every week.
  • Have experience supporting practices with audits, medicines-related Quality and Outcomes Framework targets, and repeat prescribing.
  • Have experience conducting structured medication reviews for patients with polypharmacy, long-term conditions, or high-risk conditions.
  • Understand call-and-recall processes at General Practices.
  • Be computer literate and able to work with software systems including EMIS Web and SystmOne (TPP).
  • Have an interest or experience in digital health.
  • Have an analytical approach and problem-solving ability.
  • Have team-working and communication abilities.

Responsibilities

  • Improve the quality, safety, and effectiveness of prescribing in General Practices against National Institute for Health and Care Excellence standards, prescribing guidance, and other clinical standards using the Abtrace Proactive Monitoring Tool.
  • Guide product direction by bringing practical insights into clinical value and identifying key features and specifications.

Desired Qualifications

  • Have strong technical skills or relevant experience working with processes, algorithms, protocols, or coding.
  • Have experience in a digital healthcare technology company.
  • Have leadership experience managing staff in a healthcare setting.

About the Company

Abtrace

AI-powered primary care automation and monitoring

Abtrace provides an AI-powered platform that sits on top of NHS GP EHRs to move primary care from a reactive to a proactive model. It uses machine learning and natural language processing to analyze patient data, automatically identifying individuals due for monitoring, testing, or treatment, and it automatically recalls them by SMS and email. Clinicians view a single dashboard that shows a patient’s needs across multiple conditions, enabling care to be planned in one visit and reducing administrative workload while supporting antimicrobial stewardship. The goal is to save clinicians’ time, reduce repeat appointments, and improve the quality and safety of primary care through proactive chronic-disease management and population health analytics.

Company size
51-200
Company stage
Grant
Total funding
$6.9M
Headquarters
London, United Kingdom
Founded
2018

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