At a Glance
- Tasks: Review and validate medical data to enhance AI-driven healthcare tools.
- Company: Join a pioneering healthcare AI partner focused on clinical decision support.
- Benefits: Flexible remote part-time role with opportunities for professional growth.
- Other info: Collaborate with experts to ensure accuracy and patient safety in AI models.
- Why this job: Shape the future of primary care with your clinical expertise and AI innovation.
- Qualifications: MD or DO in Family Medicine, with 2+ years of clinical experience.
The predicted salary is between 36000 - 60000 £ per year.
About the Role
Mercor is hiring Family Medicine / Primary Care Physicians (PCPs) on behalf of a healthcare AI partner building advanced clinical decision-support tools. In this role, you will leverage your clinical expertise to review, annotate, and validate medical data, contributing directly to the development of safe, accurate, and explainable medical AI systems. This position combines your knowledge of primary care, diagnosis, and treatment with the emerging field of clinical data curation and AI model training — helping bridge the gap between frontline medicine and artificial intelligence.
Key Responsibilities
- Clinical Data Annotation: Review and label clinical text, EHR data, and case notes for use in AI model training. Identify and validate medical entities, diagnoses, treatment pathways, and outcomes relevant to family medicine.
- Quality Review & Validation: Audit annotated datasets for clinical accuracy and consistency. Cross-check outputs generated by AI models to ensure medical soundness.
- Knowledge Contribution: Provide expert input on guidelines for annotation, taxonomy development, and edge case definitions. Collaborate with data scientists and engineers to improve AI understanding of medical context.
- Model Evaluation & Feedback: Evaluate AI-generated recommendations or clinical summaries, flag inaccuracies, and provide structured feedback for iterative model refinement.
- Documentation & Training Support: Contribute to the creation of clinical documentation standards and assist in developing onboarding materials for new annotators.
Requirements
- MD or DO degree with specialization in Family Medicine or Internal Medicine.
- Board-certified or board-eligible in Family Medicine or Internal Medicine.
- Active medical license in good standing.
- Academic hospital experience preferred.
- 2+ years of clinical experience in outpatient or primary care settings.
- Strong understanding of preventive, acute, and chronic disease management.
- Familiarity with EHR systems, clinical documentation, and standard terminologies (ICD-10, CPT, SNOMED).
- Excellent attention to detail and ability to interpret nuanced medical language.
- Interest or prior exposure to medical AI, data annotation, or health informatics preferred.
Work Arrangement
- Remote, part-time role (up to 10 hours per week).
- Flexible schedule — ideal for practicing clinicians seeking to contribute to next-generation healthcare technology.
- Ongoing opportunities for professional growth in applied medical AI and data science collaboration.
Why Join
- Shape the future of AI-assisted primary care by ensuring that medical models reflect real-world clinical expertise.
- Collaborate with cross-functional teams dedicated to accuracy, ethics, and patient safety.
- Gain exposure to AI-driven healthcare innovation while maintaining flexibility and clinical involvement.
- Be part of a mission to make accessible, evidence-based, and intelligent healthcare a global reality.
Family Medicine in London employer: Mercor
Mercor is an exceptional employer for Family Medicine Physicians, offering a unique opportunity to blend clinical expertise with cutting-edge AI technology in healthcare. With a flexible remote work arrangement and a commitment to professional growth, employees can contribute to meaningful advancements in patient care while maintaining their clinical practice. Join a collaborative culture that prioritises accuracy, ethics, and the future of intelligent healthcare.
StudySmarter Expert Advice🤫
We think this is how you could land Family Medicine in London
✨Tip Number 1
Network like a pro! Reach out to your contacts in the healthcare field and let them know you're on the lookout for opportunities. You never know who might have a lead or can put in a good word for you.
✨Tip Number 2
Get social! Join relevant groups on platforms like LinkedIn or Facebook where healthcare professionals hang out. Engage in discussions, share your insights, and keep an eye out for job postings that might not be advertised elsewhere.
✨Tip Number 3
Prepare for interviews by brushing up on your clinical knowledge and AI basics. Be ready to discuss how your experience in family medicine can contribute to the development of AI tools. Show them you’re not just a doctor, but a forward-thinker!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of our mission to innovate healthcare.
We think you need these skills to ace Family Medicine in London
Some tips for your application 🫡
Show Off Your Expertise:Make sure to highlight your clinical experience and knowledge in family medicine. We want to see how your background aligns with the role, so don’t hold back on showcasing your skills!
Tailor Your Application:Take a moment to customise your application for this specific role. Mention how your experience with EHR systems and clinical documentation can contribute to our AI projects. It shows us you’re genuinely interested!
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon and make sure your qualifications shine through without unnecessary fluff.
Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Mercor
✨Know Your Stuff
Make sure you brush up on your clinical knowledge, especially around family medicine and primary care. Be ready to discuss specific cases or experiences that highlight your expertise in diagnosis and treatment.
✨Familiarise with AI Concepts
Since this role involves working with AI tools, it’s a good idea to get a basic understanding of how AI in healthcare works. You don’t need to be an expert, but knowing the basics will help you engage in meaningful conversations during the interview.
✨Prepare for Data Discussions
Expect questions about clinical data annotation and validation. Think about your experience with EHR systems and how you’ve ensured accuracy in clinical documentation. Be ready to share examples of how you’ve handled complex medical language.
✨Show Your Collaborative Spirit
This role requires working closely with data scientists and engineers. Highlight any past experiences where you’ve collaborated with cross-functional teams, and express your enthusiasm for contributing to innovative healthcare solutions.
