Clinical Nurse Co-ordinator - ECMS

NHS Scotland
Glasgow
11 months ago
Applications closed

Related Jobs

View all jobs

Lead Clinical Data Science Programmer

Senior Data Scientist (Clinical Data Analytics)

Research Assistant in Machine Learning for Clinical Trials

Senior Machine Learning Scientist

Senior Machine Learning Scientist

Senior Machine Learning Scientist

NHS Greater Glasgow and Clyde is one of the largest healthcare systems in the UK employing around 40,000 staff in a wide range of clinical and non-clinical professions and job roles. We deliver acute hospital, primary, community and mental health care services to a population of over 1.15 million and a wider population of 2.2 million when our regional and national services are included.


The shift pattern is 12 hour night shifts and weekend days 3-4 per week.

(Please note the salary is Pro Rata) for part time hours.

NHS Scotland is committed to encouraging equality and diversity among our workforce and eliminating unlawful discrimination. The aim is for our workforce to be truly representative and for each employee to feel respected and able to give their best. To this end, NHS Scotland welcomes applications from all sections of society.

An exciting full time opportunity has arisen within the out of hours Clinical Nurse Coordinator Team at Glasgow Royal Infirmary. We would like to invite applicants to join our team of senior nurses. It is a perfect opportunity for a skilled Registered Nursing Practitioner who would like to broaden their scope of practice to whole hospital working. This is a very challenging role with many competing priorities and responsibilities. It requires someone who has a good knowledge of policy with sound decision making skills, is flexible, responsive, clinically knowledgeable and works well under pressure. As a team, we are looking for someone who is considered to be a professional leader, who communicates effectively across the multidisciplinary team and is clinically skilled with management experience. While this post is based within North Sector at GRI, the post-holder may be required to work across all acute adult inpatient hospital sites within Glasgow. The role encompasses all aspects of site, bed, patient flow and resource management during the out of hours period and provides leadership around ‘Hospital at Night’. In addition, the post-holder will be a first responder to all alerts across the hospital site. Educated to degree level, you must be a first level Registered Nurse with a minimum of 5 years clinical nursing experience. 2 years of which should clearly demonstrate management experience. You will be IT literate, up to date with all Corporate Nurse Training requirements and be competent in the Administration of Medicines via the IV route; Venepuncture and Cannulation; ILS; Conflict management or willing to undertake training and maintain competence.

We welcome informal visits.

Informal contact:Anna Syme, Lead Nurse, ,


Details on how to contact the Recruitment Service can be found within the Candidate Information Packs.

NHS Greater Glasgow and Clyde encourages applications from all sections of the community. We promote a culture of inclusion across the organisation and are proud of the diverse workforce we have.

By signing the Armed Forces Covenant, NHSGGC has pledged its commitment to being a Forces Friendly Employer. We support applications from across the Armed Forces Community, recognising military skills, experience and qualifications during the recruitment and selection process.

Candidates should provide original and authentic responses to all questions within the application form. The use of artificial intelligence (AI), automated tools, or other third-party assistance to generate, draft, or significantly modify responses is strongly discouraged. By submitting your application, you confirm that all answers are your own work, reflect your personal knowledge, skills and experience, and have not been solely produced or altered by AI or similar technologies.

Failure to comply with this requirement may result in your application being withdrawn from the application process.

For application portal/log-in issues, please contactJobtrain support hubin the first instance

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.