Data Quality Assistant - Health Records

NHS Scotland
Glasgow
4 days ago
Create job alert

NHS Greater Glasgow and Clyde (NHSGGC) is one of the largest healthcare systems in the United Kingdom, employing approximately 40,000 staff across a wide range of clinical and non‑clinical professions and roles. We deliver acute hospital, primary, community and mental health services to a population of over 1.15 million people, and to a wider population of 2.2 million when regional and national services are included.


The Role

You will provide direction and support to a team of Quality Assurance staff to enable them to carry out their daily tasks and duties effectively. You will support the planning of workload within the team, managing team resources, and, in the absence of the Deputy, adjust priorities as necessary to meet the demands of the service, escalating issues when required.


Duration, Location, and Working Pattern

Number of Posts: 2


Hours per Week: 23.5 & 12.5


Shift Pattern:



  • Post 1: Monday, Wednesday 17:30–22:00; Thursday & Friday 17:00–22:00
  • Post 2: Saturday & Sunday 09:00–15:15

Base Location: GGC Wide and can be moved to any location.


Salary is pro rata for part‑time hours.


Key Responsibilities

  • Plan, organise, prioritise and maintain day‑to‑day administrative tasks for the QA team in absence of the supervisor.
  • Ensure all data are processed by priority, collected accurately and recorded in line with GDPR; maintain data accuracy.
  • Ensure completeness of data input and extract, collate and summarise database information for statistical management reports.
  • Assist the Deputy and Health Records QA Manager in identifying needs, and in delivery, development and implementation of training packages including staff induction, specialist and refresher training.

Knowledge, Training, Qualifications and Experience Required

  • Supervisory management skills/experience.
  • Thorough knowledge of systems supporting data quality and relevant hospital and departmental policies.
  • Computer‑literate, particularly in Microsoft Office.
  • Previous clerical experience within a Health Records Department and good communication skills.
  • Good computer, keyboard and Microsoft Office skills.

What We Offer

We offer a wide range of supportive policies designed to enhance your employee journey, including a comprehensive Employee Assistance Programme, Cycle‑to‑Work Scheme, bursary scheme and extensive learning and development opportunities.


As an NHS Scotland employee you will be entitled to:



  • A minimum of 27 days annual leave, increasing with length of service, plus public holidays.
  • Membership of the NHS Pension Scheme, including life insurance benefits.
  • Salary Sacrifice Car Benefit Scheme.
  • Development opportunities including study bursaries, e‑learning and classroom courses.
  • Enhanced pay for working public holidays.
  • NHS discounts on a wide range of goods and services.
  • Confidential employee support and assistance, including counselling and psychological therapies.

Interested?

If you would like to find out more, we would love to hear from you.


Contact

(Insert contact details)


Application Process

This post may close early due to high volume. We will not provide shortlisting feedback. Please submit your application form as soon as possible.


AI tools such as ChatGPT or Copilot can assist in planning and preparing your application, but the content must be your own. Show us the real you, use AI wisely, and understand that AI-generated content may lead to withdrawal.


Please Note

From 1 April 2026, the Agenda for Change full‑time working week will reduce from 37 to 36 hours. Part‑time hours will be reduced pro‑rata, with a corresponding increase in hourly rate to keep overall pay unchanged.


NHS Greater Glasgow and Clyde recognises the importance of work‑life balance and is committed to offering a range of flexible working options. We encourage applications from individuals seeking flexible arrangements.


NHS Greater Glasgow and Clyde encourages applications from all sections of the community and is proud of a diverse workforce.


We are a Forces Friendly Employer; applications from the Armed Forces Community are welcomed.


FAQ / Contact Issues

For application portal or log‑in issues contact the recruitment service in the first instance.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Quality & Admin Assistant - Forensic Mental Health Team

Data Quality & Admin Assistant - Forensic Mental Health Team

Admin and Data Quality Assistant - Band 4

Admin and Data Quality Assistant - Band 4

Admin and Data Quality Assistant

Purchasing Data Quality Support Assistant

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.

Jobs

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

Careers

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

Jobs

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

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.