Rural GP (ARRS) – Part-Time, PCN Team & Training in Suffolk

Rural GP (ARRS) – Part-Time, PCN Team & Training in Suffolk

Suffolk Part-Time 30000 - 40000 Β£ / year (est.) No working from home possible
Suffolk LMC

At a Glance

  • Tasks: Provide excellent patient care and collaborate with a supportive healthcare team.
  • Company: Join the Suffolk LMC at Guildhall Surgery in Clare, Suffolk.
  • Benefits: Flexible part-time hours with a focus on professional development.
  • Other info: Be part of a thriving practice dedicated to top-notch patient care.
  • Why this job: Make a real difference in rural healthcare while enjoying a collaborative environment.
  • Qualifications: Full GMC registration and strong time management skills.

The predicted salary is between 30000 - 40000 Β£ per year.

Suffolk LMC is seeking a part-time GP to join their team at Guildhall Surgery in Clare, Suffolk. This role offers 6 sessions per week and a supportive environment focused on excellent patient care.

The GP will work collaboratively with other healthcare professionals through regular team meetings and personalized training opportunities.

Ideal candidates should have full GMC registration and effective time management skills. Join us in our mission to deliver top-notch healthcare within a thriving rural practice.

Rural GP (ARRS) – Part-Time, PCN Team & Training in Suffolk employer: Suffolk LMC

Suffolk LMC is an excellent employer, offering a supportive and collaborative work culture that prioritises exceptional patient care. With opportunities for personalised training and professional growth, our part-time GP role at Guildhall Surgery in Clare, Suffolk, allows you to thrive in a rural setting while making a meaningful impact on the community's health.

Suffolk LMC

Contact Details:

Suffolk LMC Recruitment Team

We think you need these skills to ace Rural GP (ARRS) – Part-Time, PCN Team & Training in Suffolk

Full GMC Registration
Effective Time Management Skills
Collaborative Working
Patient Care
Teamwork
Communication Skills
Adaptability