Employer: NICE - The National Institute for Health and Care Excellence
Employer type: NHS
Site: 3rd Floor, Manchester
Salary: £62,215 - £72,293 per annum
Salary period: Yearly
Closing: 30/03/2025 23:59
Scientific Adviser
NHS AfC: Band 8b
The National Institute for Health and Care Excellence (NICE) is the independent organisation responsible for providing national guidance and advice on promoting high quality health, public health, and social care.
As an equal opportunities employer, we are committed to creating an inclusive environment and welcome everyone from all backgrounds to apply so we can continue to create a workforce which is representative of the communities we serve.
If you are suitably qualified and have an interest in remote, hybrid, full-time, or part-time working, we encourage you to get in touch as we are happy to discuss potential flexible working opportunities.
We have modern offices in Manchester city centre and Stratford, London. Please take into consideration that you may be required to commute to one of our offices for business purposes if necessary.
Job Overview
Join NICE as a Strategy Expert in the use of Artificial Intelligence for transforming the work of NICE!
Are you a strategic thinker with a passion for innovation and transformation? NICE is seeking an experienced Scientific Adviser to drive forward our organisational evolution by harnessing the potential of artificial intelligence (AI) in health technology assessment (HTA) and evidence-based decision making. As a key member of our team, you will play a pivotal role in shaping NICE’s future, ensuring we maximise AI’s capabilities in the conduct of health technology assessment.
You will work in NICE’s HTA lab, a multi-stakeholder test environment, examining where AI is likely to disrupt HTA in the near future and how NICE can adapt. You will provide expert guidance on the adoption of AI technologies in the context of health and care guidance development, ensuring alignment with organisational goals, regulatory frameworks, and ethical considerations. You will lead the development and implementation of strategic initiatives that integrate AI into NICE’s processes, working collaboratively across teams.
The ideal candidate will have a strong background in strategy development, experience in leading change, and a deep understanding of the potential and challenges of AI in healthcare and policy environments. If you thrive in a fast-paced, forward-thinking environment and are ready to shape the future of NICE, we would love to hear from you.
Main Duties of the Job
NICE has a newly established Health Technology Assessment innovation laboratory (HTA Lab). HTA Lab offers a ‘safe space’ for creating solutions to complex problems in health technology assessment in collaboration with system partners and stakeholders. The HTA Lab team has already worked on one topic relating to the use of artificial intelligence for economic modelling, but other related topics are planned as the portfolio of HTA Lab projects continues to develop and expand. This includes a new project with a focus on the future of AI in HTA, and whether it can support new concepts, such as continuous health technology assessment of interventions.
The Scientific Adviser will work in a team that adopts a flexible approach, meaning that the specific tasks assigned to the post-holders may change in response to business needs. Activities will include:
* Developing NICE responses to science policy issues.
* Leading and chairing work package meetings through the HTA lab.
* Working with colleagues across NICE and external stakeholders to identify and prioritise areas where methodological research is needed.
* Communicating and working effectively with key strategic leads in relevant external organisations.
* Drawing from, and bringing in expertise from, other key knowledge leaders to support the development of new content and processes.
* Drafting guidance, discussion documents, and publications as required.
Working for Our Organisation
The Science Evidence and Analytics (SEA) Directorate is responsible for ensuring that NICE uses the best available evidence in its guidance to support decision makers across health and care. The Data and Analytics Programme sits within the SEA Directorate, with our remit to support the whole organisation. We provide leadership in real-world data and real-world evidence to ensure NICE uses the best and most appropriate evidence in supporting its guidance and products. We also work with system partners to ensure that NICE has access to a comprehensive range of health and care data that can inform guidance and enables us to be part of a system that continually learns from data and implementation.
NICE has a number of AI-related activities which will complement this work, including grant funded multi-national research projects such as SYNTHIA, which is exploring the use of synthetic data for health technology assessment. In addition, we are undertaking a number of pilot projects related to the incorporation of artificial intelligence-enhanced research methods.
Benefits We Offer
* NHS pension scheme which is one of the most generous in the UK.
* Holiday entitlement which starts from 27 days plus Bank Holidays.
* We promote flexible working to help staff achieve a healthy work-life balance including work from home, compressed hours, and flexi start/finish times.
Detailed Job Description and Main Responsibilities
To be considered for this role, you should be able to particularly demonstrate the person specification criteria in the job advert in your application. However, applicants should be able to demonstrate all essential criteria through the entirety of the recruitment process to be considered for the job.
Person Specification
Education/Qualifications
* Doctorate or Masters or further specialist training (or equivalent level of knowledge acquired through experience and training/development) in the field of one or more of the following: health technology assessment, health economics, health outcomes research, artificial intelligence, or another relevant discipline.
Experience
* Experience in conducting methods research and disseminating findings.
Experience
* Experience of representing an organisation in meetings with external stakeholders.
Skills/Knowledge
* Knowledge of artificial intelligence methods as applied to health care research or for evidence generation to support AI-enabled technologies.
Skills/Knowledge
* Ability to effectively lead complex projects and deliver work of a high standard with conflicting and demanding deadlines.
Skills/Knowledge
* Knowledge of the methods of health technology assessment and/or guideline or policy development.
Skills/Knowledge
* Ability to identify, critically appraise, analyse and synthesise highly complex evidence and present it clearly and precisely, both verbally and in writing.
Important - Due to NICE’s use of anonymised recruitment practices, we ask all candidates not to include any personal details within their application. Please ensure you provide sufficient detail in the supporting information section to allow our team to make an informed judgement about your suitability for this role at this stage. CVs will not be considered.
We reserve the right to close any vacancies from further submissions when we have received sufficient applications from which to make a shortlist. Please ensure you apply without delay if you wish to be considered for this role.
Candidates must ensure that all information provided in their application is factually accurate. Any examples provided must be taken from personal experience. The Civil Service abides by honesty and integrity as part of its core values; if evidence of plagiarism is found, applications may be withdrawn.
By submitting an application, you agree that it may be rejected or subject to disciplinary action if evidence of plagiarism is detected. Examples of plagiarism can include presenting the ideas and experience of others, or generated by artificial intelligence, as your own.
Please contact Careers@nice.org.uk if you wish to discuss any additional needs or reasonable adjustments which may support you with your application and/or at interview.
Employer Certification / Accreditation Badges
Name: Stephen Duffield
Job title: Associate Director for Real-world Evidence Methods
Email address: Stephen.duffield@nice.org.uk
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