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- Tasks: Evaluate AI to transform NICE's work and enhance decision-making.
- Company: NICE is a world leader in health and care guidance, improving quality and sustainability.
- Benefits: Enjoy flexible working, generous leave, NHS pension, and exclusive discounts.
- Why this job: Join a forward-thinking team shaping the future of healthcare with AI innovation.
- Qualifications: Strong research skills and experience with AI evaluations are essential.
- Other info: Collaborate with international partners and influence key health policy issues.
The predicted salary is between 36000 - 60000 £ per year.
Join to apply for the Senior Analyst role at NICE – National Institute for Health and Care Excellence
Join to apply for the Senior Analyst role at NICE – National Institute for Health and Care Excellence
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Join NICE as a Senior Analyst to evaluate Artificial Intelligence for transforming the work of NICE!
The National Institute for Health and Care Excellence (NICE) exists to help improve the quality, sustainability and productivity of health and social care in England and Wales. We have an international reputation for producing high quality guidance and information on effective practice that supports better decisions and helps the health and care system to prioritise its investments. We are world leaders in the work that we do.
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.
The Senior Analysts within our team are responsible for a range of activities, including:
- Conducting research, or evaluations, analysing data and disseminating findings in collaboration with partners in the UK or internationally
- Delivering science policy and research outputs and ensuring the high technical quality of these outputs
- Developing applications for research funding in collaboration with partners in the UK or internationally
- Proactively working with teams across NICE to develop and deliver projects that address NICE\’s strategic research or business priorities
- Developing and maintaining working relationships with external collaborators including research partners, international HTA agencies, regulators and the wider research community
- Managing Data and Analytics research methods activity.
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.
The Science Evidence and Analytics (SEA) Directorate ensures NICE uses the best available evidence to support decision making across health and care. The Data and Analytics (D&A) Programme, part of SEA, supports the whole organisation by leading on real-world data and evidence. We work with system partners to ensure NICE accesses a wide range of health and care data, enabling a system that continually learns from implementation.
Recently, the D&A team led the development of NICE’s Statement of Intent for artificial intelligence (AI), outlining our approach to: 1) guiding technology developers on best practice for AI-based evidence generation; 2) evaluating AI technologies for NHS use; and 3) exploring AI tools within NICE processes. This work ensures NICE remains at the forefront of data and technology innovation, both in the UK and globally. The team also conducts research and works with external policy partners to influence key issues, enhancing NICE’s role as a methodological leader.
Our Benefits Include
- NHS Pension – Among the UK’s most rewarding schemes.
- Flexible Working – Options include remote working, compressed hours and flexible schedules.
- Discounts – Save with a Blue Light Card.
- Generous Leave – 27 days annual leave plus bank holidays.
- Inclusive Networks – Join groups like Women in NICE and the Race Equality Network.
- Tailored Development – Advance with personalised learning opportunities.
Like the sound of it? Apply today!
For further details / informal visits contact: Name: Stephen Duffield Job title: Associate Director for Real-world Evidence Methods Email address: Stephen.duffield@nice.org.uk
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Senior Analyst 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 Senior Analyst
✨Tip Number 1
Familiarise yourself with NICE's recent initiatives, especially those related to AI and data analytics. Understanding their current projects will help you demonstrate your knowledge and enthusiasm during any discussions.
✨Tip Number 2
Network with professionals in the health and care sector, particularly those involved in AI and analytics. Engaging with them can provide insights into the role and may even lead to referrals.
✨Tip Number 3
Prepare to discuss specific examples of how you've used research methods or data analysis in previous roles. Highlighting your practical experience will show that you're ready to contribute from day one.
✨Tip Number 4
Stay updated on the latest trends in AI and healthcare. Being able to speak knowledgeably about emerging technologies and their implications for NICE will set you apart as a candidate.
We think you need these skills to ace Senior Analyst
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Senior Analyst position at NICE. Familiarise yourself with their focus on AI and how it integrates into health and care.
Tailor Your CV: Customise your CV to highlight relevant experience in research methods, data analysis, and any previous work with AI technologies. Emphasise your ability to support evaluations or pilots, as this is crucial for the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for innovation and transformation in health and care. Discuss specific examples of how you've used AI or data analytics in past roles to drive change.
Highlight Collaborative Experience: NICE values teamwork, so be sure to mention any collaborative projects you've worked on, especially those involving external partners or stakeholders. This will demonstrate your ability to work across teams effectively.
How to prepare for a job interview at NICE - National Institute for Health and Care Excellence
✨Understand NICE's Mission
Before your interview, make sure you have a solid grasp of NICE's mission and how they aim to improve health and social care. This will help you align your answers with their goals and demonstrate your genuine interest in the role.
✨Showcase Your Analytical Skills
As a Senior Analyst, you'll need to highlight your experience with data analysis and research methods. Be prepared to discuss specific projects where you've successfully used these skills, especially in relation to AI or healthcare.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving abilities. Think about how you would approach integrating AI into NICE's processes and be ready to share your thought process and potential strategies.
✨Demonstrate Collaboration Experience
NICE values teamwork, so be ready to discuss your experience working collaboratively across teams. Share examples of how you've built relationships with external partners or stakeholders to achieve project goals.
