Scientific Adviser (NHS AfC: Band 8b) - Scientific adviser - NICE - The National Institute for [...]

NICE - The National Institute for Health and Care Excellence; Manchester; Hybrid; GBP 62,000 - 73,000; Full time

Job summary

Join a forward-thinking organization as a Scientific Adviser to revolutionize healthcare through artificial intelligence. This role focuses on integrating AI into NICE's processes, enhancing decision-making and efficiency. You will spearhead strategic initiatives, collaborate with diverse teams, and drive innovation in health technology assessment. With a commitment to inclusivity and flexible working options, this position offers a unique opportunity to shape the future of healthcare. If you're passionate about AI and its potential to transform public health, we want to hear from you!

Benefits

Generous NHS Pension

Flexible Working

Exclusive Discounts

27 days annual leave plus Bank Holidays

Inclusive Staff Networks

Tailored Development Opportunities

Qualifications

• Masters or equivalent in AI or relevant health-related discipline.
• Experience in evaluating AI in healthcare settings.

Responsibilities

• Lead the development of NICE's AI strategy and evaluate AI tools.
• Conduct evaluations and disseminate findings with partners.

Skills

Artificial Intelligence

Health Technology Assessment

Data Analysis

Project Management

Stakeholder Engagement

Education

Masters in Artificial Intelligence or related field

Job description

Employer NICE - The National Institute for Health and Care Excellence Employer type NHS Site 3rd Floor Town Manchester Salary £62,215 - £72,293 per annum (plus HCAS if applicable) Salary period Yearly Closing 11/05/2025 23:59 Interview date 20/05/2025

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 a 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 Scientific Adviser to evaluate Artificial Intelligence for transforming the work of NICE!

Do you have 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) for the core functions of NICE. As a key member of our team, you will play a pivotal role in shaping NICE’s future, ensuring we maximise AI’s capabilities to enhance our ways of working, improve efficiencies, and support evidence-based decision-making.

In this role, you will lead the development and implementation of strategic initiatives that integrate AI into NICE’s processes, working collaboratively across teams to identify and capitalise on opportunities for transformation. The ideal candidate will have experience in the use of artificial intelligence in the context of evidence generation in healthcare settings, as well as the ability to run evaluations or pilots of artificial intelligence tools. 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.

Role can be based in either our Manchester or London office.

Main duties of the job

There is a vacancy in the D&A team for a scientific adviser post, focused on developing NICE’s AI strategy in partnership with teams working internally to NICE and also external stakeholders. The Scientific Adviser’s role would work across a portfolio of projects, related to evaluating AI for use and appraisal by NICE. The post holder would be expected to lead, co-ordinate and provide expertise across different workstreams. The team adopts a flexible approach, meaning that the specific tasks assigned to the post-holders may change in response to business needs.

The Scientific Adviser may also cover a range of other activities, including:

• Conducting evaluations, analysing data and disseminating findings in collaboration with partners in the UK and internationally.
• Developing NICE responses to science policy issues. Typically, a policy response is needed when new research findings, or new policy decisions by government or regulators, mean that NICE’s policies or methods require reviewing and/or updating.
• Working with colleagues across NICE to identify and prioritise areas where methodological research is needed.
• Working with colleagues across NICE to encourage the implementation and adoption of research or evaluation findings in NICE’s methods and processes.
• Developing applications for research funding in collaboration with partners in the UK and internationally.
• Engaging with stakeholders and partner organisations.

Working for our organisation

The Science Evidence and Analytics (SEA) Directorate ensures NICE uses the best available evidence to support health and care decision makers. Within SEA, the Data and Analytics (D&A) Programme supports the entire organisation, providing leadership in real-world data and evidence to strengthen NICE’s guidance and products. The D&A team recently led the development of NICE’s Statement of Intent for artificial intelligence (AI), which outlines plans to: 1) guide technology developers on best practice for AI-based methods in evidence generation; 2) evaluate AI technologies for NHS use; and 3) explore AI tools to enhance NICE’s internal processes.

Our benefits include:

Generous NHS Pension – Secure your future with one of the most rewarding pension schemes in the UK.
Flexible Working – Enjoy a healthy work-life balance with options like remote working, compressed hours and flexible start/finish times.
Exclusive Discounts – Save on shopping, dining and more with a Blue Light Card.
Time to Recharge – Start with 27 days’ annual leave plus Bank Holidays.
Inclusive Staff Networks – Join supportive communities like Women in NICE, Race Equality Network, Disability Advocacy and more – we celebrate diversity.
Tailored Development – Grow your career with personalised learning and development opportunities.

If you feel this is the type of environment you will enjoy working in, apply today!

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.

Please see job description attached for full list of responsibilities.

Person specification

Education/Qualifications

• Masters or further specialist training (or equivalent level of knowledge acquired through experience and training/development) in the field of artificial intelligence and one or more of the following: health technology assessment, health economics, health outcomes research, epidemiology, or another relevant health-related discipline

Experience

• Experience in conducting evaluations or 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 the evaluation of 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 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. CV’s 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 [e-mail] 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 [e-mail]