Lead Mental Health Nurse - Recovery‑Focused, Flexible Role

Essex Partnership University NHS Foundation Trust; Chelmsford; On-site; GBP 32,000 - 40,000; Full time

Job summary

A leading healthcare provider in Chelmsford is seeking a Band 6 Nurse to join their multidisciplinary team. This role requires a Registered Mental Health Nurse with experience at Band 6, providing holistic care assessments, leading nursing practice, and ensuring high standards of care. The position offers excellent benefits including relocation support, generous leave, and a comprehensive pension scheme. Candidates should possess strong leadership skills and the ability to evaluate care programs while upholding the Recovery model.

Benefits

27 days holiday, plus bank holidays

Excellent pension of up to 14.5%

£8K relocation package

Interest-free season ticket loans

Staff discounts and benefits

Qualifications

• Registered Mental Health Nurse with proven experience at Band 6.
• Competent in leading and prioritising a nursing team.
• Experience working in a multi-disciplinary setting.

Responsibilities

• Responsible for holistic assessment of care needs for clients.
• Development and implementation of programs of care.
• Lead clinical practice within the area, demonstrating leadership.

Skills

Ability to prioritise tasks and delegate appropriately

Ability to manage workload to safely meet demands

Ability to undertake comprehensive assessments

Education

Registered Mental Health Nurse

Proven Experience at Band 6

Job description

A leading healthcare provider in Chelmsford is seeking a Band 6 Nurse to join their multidisciplinary team. This role requires a Registered Mental Health Nurse with experience at Band 6, providing holistic care assessments, leading nursing practice, and ensuring high standards of care. The position offers excellent benefits including relocation support, generous leave, and a comprehensive pension scheme. Candidates should possess strong leadership skills and the ability to evaluate care programs while upholding the Recovery model.