Senior Analyst

Senior Analyst

The closing date is 01 April 2026

Join NICE as a Senior Analyst to support guidance and evaluation of Artificial Intelligence for transforming the work of NICE!

Do you have a passion for innovation and transformation? NICE is seeking a Senior Analyst 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 support 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 a strong grounding in research methods as well as the ability to support 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.

This role can be based in either our Manchester or London office.

Main duties of the job

The Senior Analysts within our team are responsible for a range of activities, including:

• Supporting evaluations, analysing data and disseminating findings in collaboration with partners in the UK and internationally.
• Supporting development and writing of new guidance for AI and real world methods.
• 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.

The team adopts a flexible approach, meaning that the post holder will work on multiple projects and activities at any one time and that specific tasks assigned to the post holder may change in response to business needs.

About us

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 Real world Evidence Methods team provides leadership in real world evidence to ensure NICE uses the best and most appropriate evidence in supporting its guidance and products.

Recently, the team has led on developing NICE's Statement of Intent for artificial intelligence which sets out NICE's intention to develop our approach to: 1) providing guidance for technology developers on best practice for artificial intelligence (AI) based methods to support the evidence generation for their technologies; 2) evaluating AI based technologies for use in the NHS; 3) and exploring the use of AI based tools in our own internal processes.

NICE benefits

• 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.

Job responsibilities

We are committed to building a diverse, inclusive, and equitable workplace. If you're excited about this role but don't meet every single requirement, we still encourage you to apply. Research shows that people from under represented backgrounds often do not apply for opportunities unless they meet all the criteria. If you think you could be a great fit, we'd love to hear from you. We welcome applications from people of all backgrounds, identities, and lived experiences.

Person Specification Qualifications

• Masters degree (or equivalent level of knowledge acquired through experience and training/development) in one of more of the following fields: health economics, health outcomes research, medical statistics, epidemiology, software evaluation or another relevant health related discipline.

Experience

• Experience of working in a research setting and of developing, conducting and project managing multiple research projects across a wide range of topics.

Knowledge

• Specialist knowledge of research methodology, including primary and secondary research techniques, and health technology assessment or guideline development.

Skills

• Ability to identify priorities, develop projects and work with external researchers and stakeholders to ensure the outputs meet a high standard.

Knowledge

• Knowledge of artificial intelligence methods as applied to health care research or for evidence generation to support the evaluation of AI enabled technologies.

Disclosure and Barring Service Check

This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions.

£55,690 to £62,682 a yearper annum, plus HCAS if applicable

Contract

Permanent

Working pattern

Full-time,Part-time,Flexible working,Compressed hours