Healthcare Science Assistant (Higher Level-Genetics

NHS Scotland
Glasgow
11 months ago
Applications closed

Related Jobs

View all jobs

Assistant Professor in Actuarial Data Science (T&R)

Research Assistant/Associate in Cardiac Computational Modelling via Machine Learning and Biomechanics Simulations

Lecturer in Machine Learning for Engineering

Sr. Data Scientist

Data science programme lead, hireful

Data science programme lead

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.


This is a permanent, full time position.

The shift pattern for this position isMonday to Friday.

An opportunity has arisen for two Band 3Healthcare Science Assistants (Higher Level) to join Laboratory Genetics, which forms part of the West of Scotland Centre for Genomic Medicine. The laboratory provides a high-quality diagnostic genetics service to the West of Scotland, population 2.7 million, and to the whole of Scotland through the Scottish Strategic Network for Genomic Medicine. Based at the state-of-the-art Laboratory Medicine building at the Queen Elizabeth University Hospital in Glasgow, the department is responsible for the testing of both inherited and acquired genetic disease (solid and haematological malignancy).

The successful candidates will join our team of >130 scientific and technical staff. They will work as part of the specimen reception team and will be responsible for the processing of patient specimens and for the provision of technical support to the scientific staff of the Laboratory Genetics department. They will perform basic laboratory tasks for a set of routine laboratory procedures, to ensure that the laboratory’s genetic tests are processed, and results are reported within contracted times. Applicants should have secondary education to higher level, an ONC or equivalent relevant experience.

Previous relevant laboratory experience is essential. The normal shift pattern for this post is Monday - Friday between 9.00am - 5.00pm. Please note that Laboratory Genetics is not an IBMS Approved Training Laboratory

Informal contact:Edwin Yip, Quality Manager, ,

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

Due to the anticipated response to this post it may close before the closing date noted on the advert therefore once you start your application form please complete it immediately.


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.

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.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.