Technical Manager - Healthcare Science - NHS GGC Microbiology

NHS Greater Glasgow & Clyde
Glasgow
9 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist – Home Insurance Pricing & ML (Hybrid)

Machine Learning Engineer

Data Science Manager - Advanced Analytics & AI

Product Manager - Machine Learning

Senior Manager, Data Science - eBay Live

Manager - Data and Data Science Strategy - Emerging Data and Capabilities

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 Microbiology Technical Manager post at QEUH Microbiology is responsible for a sub-division of the department under the direction of the Operational Manager. The post holder will perform as lead specialist in designated areas of responsibility. The post holder will provide direction to staff and provide highly specialist advice to service users (clinicians, GPs, nurses etc.), colleagues and other senior staff such as department consultants and laboratory managers.

The Diagnostic Clinical Microbiology/Virology Service for NHS Greater Glasgow & Clyde (NHS GG&C) is delivered from two sites: Glasgow Royal Infirmary and the Queen Elizabeth University Hospital. The laboratories provide a full and comprehensive Microbiology / Virology service to the population of NHS GG&C including Hospital based users, General Practice users, Private Sector users and to colleagues in the university and teaching sectors.

Applicants must be registered with the Health Care Professions Council (HCPC) as a Biomedical Scientist and hold an MSc Biomedical Science educational qualification or hold the Fellowship of the Institute of Biomedical Science (F.I.B.M.S.) or have an equivalent educational qualification.

The post is based at the Microbiology Laboratory, Queen Elizabeth University Hospital, Glasgow which is a state of the art facility which contains extensive microbiology equipment such as Vitek 2, Vitek MS, Virtuo, WASPLab and MGiT TB Analysers. The laboratory processes around 420,000 specimens per annum and in addition to routine microbiology sections, also provides a paediatric microbiology service to the Royal Hospital for Children and Cystic Fibrosis Microbiology service for CF adults and children.

The laboratory holds UKAS accreditation for ISO 15189 standards as a single managed unit together with the Microbiology laboratory at Glasgow Royal Infirmary.

A laboratory out of hours / shift service operates whereby the post holder will be required to work 37.0 hours over 7 days including evenings, weekends and public holidays as a contractual requirement. This involves the post holder carrying out, without supervision or the immediate on site availability of medical or technical advice, any of the tasks for which they are trained. It is the nature of this 24/7 service that the work is of an urgent or emergency nature and often involves the more complex diagnostic tasks e.g. those used in the diagnosis of meningitis or septicaemia

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 contact in 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 to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.