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- Tasks: Join a committee to develop AI technologies for lung function measurement.
- Company: NICE is dedicated to improving healthcare quality and consistency in the NHS.
- Benefits: Gain experience in a vital healthcare project and receive reimbursement for travel expenses.
- Why this job: Make a real impact on lung health while collaborating with diverse professionals.
- Qualifications: Experience in AI technologies and a background in healthcare are essential.
- Other info: This is an unpaid position with a time commitment of approximately 9 months.
The predicted salary is between 36000 - 60000 £ per year.
We Are Seeking Professionals With Experience Of Artificial Intelligence-based Technologies To Aid Lung Function Measurement For The Diagnosis Of Suspected Lung Conditions
- General practitioner
- Respiratory nurse
- Respiratory therapist
- Consultant physician in respiratory medicine
- Respiratory physician
- Physician associate
- Respiratory technician
- Healthcare assistant
- Pulmonologist
to join the Artificial intelligence-based technologies to aid lung function measurement for the diagnosis of suspected lung conditions committee as temporary specialist members
Closing date: Midnight on 14 July 2025
Time commitment: approx. 9 months
How to apply: Please read the job description and person specification thoroughly and use the APPLY NOW link to submit your application.
If you have an access requirement that prevents you from applying online, please contact us at diagnostics@nice.org.uk and we can provide MS Word versions of the forms to complete.
Applicants must be based in the UK
Members may be NHS staff, healthcare professionals, local government staff, social care practitioners, patients, service users and carers, and professionals from the academic world. They are expected to use their personal experience and judgement for the topics considered by the committee and to actively contribute to improving the quality and consistency of care provided by the NHS.
Committee Members Agree To
- Set aside enough time to attend committee meetings and use their personal and professional knowledge to inform the development of the guidance.
- Raise any concerns about process or details in the draft report with the committee, and try to resolve these issues within the committee, with support from the NICE assessment project team.
- Contribute positively to the work of the committee and to developing the guidance.
- Take full account of the evidence in developing the guidance
- Consider the analysis and interpretation of evidence prepared by the evidence review team.
- Act in a professional manner, show good manners and be courteous to colleagues and staff at all times.
- Be impartial and honest in conducting their duties for NICE, use public funds entrusted to them to the best advantage of NICE, and avoid deliberately damaging the confidence of the public or stakeholders in NICE.
- Ensure strict adherence to NICE’s Principles and equality policy
- Read and adhere to NICE’s policies on hospitality, declarations of interest and travel and subsistence
You will be working with the HealthTech project and technical teams to develop the guidance on Artificial intelligence-based technologies to aid lung function measurement for the diagnosis of suspected lung conditions.
Time commitment: Committee members are expected to attend a half day scoping workshop and up to two half day committee meetings and to spend time reading committee documents and helping to produce consultation documents.
Candidates are required to complete and return the confidentiality form alongside their application form
Remuneration: The position of committee member is unpaid. Our committees usually meet virtually using online software, but NICE will pay reasonable out-of-pocket expenses, including train fares and hotel costs when necessary, for attending in-person committee meetings.
Other expenses: NICE recognises that in some circumstances individuals will need to arrange for carers or support workers to accompany them to a meeting, or to take over unpaid caring responsibilities while they are at a meeting – this includes childcare or care of a family member with a disability or other additional needs. The circumstances in which NICE can provide reimbursement for such costs are outlined in the non-staff reimbursement policy.
For further details / informal visits contact: Name: Catherine Pank Job title: Project Manager Email address: diagnostics@nice.org.uk #J-18808-Ljbffr
AI technologies to aid lung function measurement employer: NICE - National Institute for Health and Care Excellence
Contact Detail:
NICE - National Institute for Health and Care Excellence Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI technologies to aid lung function measurement
✨Tip Number 1
Familiarise yourself with the latest advancements in AI technologies related to lung function measurement. This will not only help you understand the role better but also allow you to engage in meaningful discussions during interviews.
✨Tip Number 2
Network with professionals already working in the field of respiratory medicine and AI. Attend relevant conferences or webinars to make connections and gain insights that could be beneficial for your application.
✨Tip Number 3
Prepare to discuss your personal experiences and how they relate to improving lung function measurement. Being able to share real-life examples will demonstrate your commitment and understanding of the role.
✨Tip Number 4
Stay updated on NICE's guidelines and policies, especially those related to AI in healthcare. Showing that you are informed about their principles will reflect well on your application and your potential contributions to the committee.
We think you need these skills to ace AI technologies to aid lung function measurement
Some tips for your application 🫡
Understand the Role: Thoroughly read the job description and person specification to understand the expectations and requirements for the role. This will help you tailor your application effectively.
Highlight Relevant Experience: In your CV and cover letter, emphasise your experience with artificial intelligence technologies and any relevant roles in respiratory medicine or healthcare. Use specific examples to demonstrate your expertise.
Prepare Your Application Documents: Ensure that your CV is up-to-date and includes all relevant qualifications and experiences. Write a compelling cover letter that addresses how your skills align with the committee's goals and the importance of lung function measurement.
Follow Submission Guidelines: Use the 'APPLY NOW' link provided in the job description to submit your application. Make sure to include all required documents, such as the confidentiality form, and double-check for accuracy before submitting.
How to prepare for a job interview at NICE - National Institute for Health and Care Excellence
✨Understand the Role
Make sure you thoroughly understand the job description and the specific responsibilities of the role. Familiarise yourself with AI technologies related to lung function measurement, as this will help you demonstrate your knowledge during the interview.
✨Showcase Relevant Experience
Prepare to discuss your previous experience in artificial intelligence or healthcare settings. Highlight any projects or roles where you've contributed to lung function measurement or similar areas, as this will show your suitability for the committee.
✨Prepare Questions
Think of insightful questions to ask about the committee's work and the expectations for members. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
✨Demonstrate Professionalism
During the interview, maintain a professional demeanour. Be courteous, listen actively, and respond thoughtfully. This reflects your ability to work well within a committee and aligns with NICE's values.
