At a Glance
- Tasks: Lead analytical projects and provide expert advice to shape impactful health policies.
- Company: Join a leading Academy focused on science and health policy innovation.
- Benefits: Enjoy competitive salary, generous pension, hybrid work, and 26 days annual leave.
- Other info: Collaborative environment with opportunities for professional growth and development.
- Why this job: Make a real difference in health policy with high-quality analytical insights.
- Qualifications: Extensive experience in analytical functions and strong communication skills required.
The predicted salary is between 69080 - 69080 £ per year.
Salary: £69,080
Role duration: Permanent (37.5 hours per week)
Location: London, UK (Hybrid - 50% office attendance)
Summary Purpose - what you will be achieving:
The Policy Directorate brings together the Academy’s policy, analysis and external affairs functions to address major science and health policy issues in the UK and internationally. The Directorate works as a single, coordinated team, focusing resources on priority areas, applying strategic approaches, generating high‑quality evidence and insights, and engaging effectively with government, stakeholders and partners to inform decision‑making and influence policy. You will work in the Academy’s new Analysis Function, which ensures that policy development, external engagement, and rapid response work are consistently underpinned by high‑quality analytical insight. Reporting to the Head of Policy Analysis, you will lead activities in a team that spans qualitative and quantitative methods, evidence synthesis, horizon scanning, policy modelling and evaluation. You will work within the Policy Directorate (including the Policy Development and External Affairs functions) to improve the quality and impact of policy recommendations, and ensure decision-makers can rely on timely, trusted analysis.
About the role - what you will be doing:
- Provide expert advice and guidance in support of policy analysis. Work with the Head of Policy Analysis to develop the Analysis Function’s strategy, operating model, standards, governance and ways of working. Work with Policy Managers to agree strategies for evidence gathering in support of policy priorities. Advise on risks, uncertainties, and the implications of emerging scientific and technological trends as they pertain to the conduct of medical sciences and the health service.
- Lead the Policy Directorate’s ‘rapid response’ function. Lead the process of developing rapid responses to emerging policy opportunities. Oversee horizon scanning activities to ensure opportunities for rapid response are identified and planned for at early stages. Work with the Policy Directorate to agree, manage and quality assure rapid response projects. Where rapid response work has been commissioned by external organisations (e.g. government, arm’s length bodies), ensure their project needs are defined and addressed. Ensure rapid response outputs are underpinned by high‑quality analysis.
- Project manage analytical activities. Lead the Academy’s policy analysis projects, determining the best methodological approaches to gathering evidence that will inform policy development and external affairs. Manage the design and delivery of evidence syntheses, horizon scanning, modelling, impact assessments, stakeholder insight analysis, and evaluation. Lead colleagues in the Analysis Function to coordinate project planning and evidence-gathering activities. Support the Analysis Function with commissioning external analysis where appropriate. Regularly report on project progress, risks and issues to the Head of Policy Analysis.
- Build analytical partnerships and external credibility. Engage with analytical teams across government (e.g., DHSC, NHS England, UKRI, ONS), the charity sector, research funders and national academies. Engage with academic experts, methodologists, research networks and data holders to strengthen analytical depth. Represent the Academy in analytical or evidence‑focused fora. Work with the External Affairs team to support external activities.
Closing date for completed applications is Monday 6 July 2026 at 9am. Interviews will likely be held w/c Monday 13 July 2026. If you have any queries about this vacancy, please contact Daniel Wake at daniel.wake@acmedsci.ac.uk.
Requirements
Essential
- Extensive experience working in analytical or evidence functions.
- Expertise in a range of analytical methods, such as: evidence synthesis, horizon scanning, behavioural insights, data analysis, evaluation, modelling, or forecasting.
- Experience in ensuring analytical quality assurance and establishing or applying analytical standards.
- Proven ability to engage with and communicate complex analytical findings clearly for non‑technical system partners, including government and sector representatives.
- Experience with working at pace and managing a range of projects.
- Good understanding of the UK science, research and health policy landscape and how evidence informs decision-making.
Desirable
- Previous work in a science, health, research or public policy environment (e.g., government, national academy, think tank, research funder).
- Experience with managing budgets and commissioning research.
Benefits
We provide our staff with a comprehensive benefits package outlined as follows:
- Competitive rewards
- Generous pension scheme with flexible contributions – we contribute between 8% - 13% of your gross salary (with employee contributions of 3% - 8%).
- Life assurance at three times your salary.
- Work-life Balance: Hybrid and agile working. 50% office attendance. 26 days annual leave, plus Christmas closure days and bank holidays. Buying and selling leave. Family-friendly policies including enhanced maternity and paternity leave (subject to a qualifying period).
- Wellbeing and Development: Complimentary subscriptions to Headspace and Classpass to support your physical and mental wellbeing. Support through tailored learning and development.
- Additional Benefits: A range of enhanced benefits become available once you’ve completed your probation period.
Senior Policy Manager (Analysis Lead) in London employer: Academy of Medical Sciences
As a Senior Policy Manager (Analysis Lead) at our London-based Academy, you will thrive in a dynamic and supportive work environment that prioritises employee wellbeing and professional growth. With a generous benefits package, including a competitive pension scheme, flexible working arrangements, and access to wellness resources, we foster a culture of collaboration and innovation, empowering you to make a meaningful impact on science and health policy both nationally and internationally.
Contact Details:
Academy of Medical Sciences Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Policy Manager (Analysis Lead) in London
✨Tip Number 1
Network like a pro! Reach out to people in your field, especially those who work in policy analysis or related areas. Attend events, webinars, and workshops to meet potential colleagues and decision-makers. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Prepare for interviews by brushing up on your analytical skills and understanding the latest trends in health and science policy. Be ready to discuss how your experience aligns with the role of a Senior Policy Manager. Practise articulating complex ideas simply – it’s key to impressing non-technical stakeholders.
✨Tip Number 3
Showcase your expertise! Create a portfolio that highlights your previous analytical projects, evidence synthesis, and any rapid response work you've led. This will give you an edge during interviews and demonstrate your ability to deliver high-quality insights.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, keep an eye on our updates for any new opportunities that might pop up. We’re always looking for talented individuals to join our team!
We think you need these skills to ace Senior Policy Manager (Analysis Lead) in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in analytical methods and policy development. We want to see how your skills align with the role, so don’t hold back on showcasing your relevant expertise!
Showcase Your Analytical Skills:Since this role is all about high-quality analysis, be sure to include specific examples of your work with evidence synthesis, horizon scanning, or any other analytical methods. We love seeing how you’ve tackled complex problems in the past!
Keep It Clear and Concise:When writing your application, clarity is key! Use straightforward language to explain your experiences and avoid jargon where possible. Remember, we want to understand your journey without getting lost in technical terms.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Academy of Medical Sciences
✨Know Your Analytical Methods
Make sure you brush up on the analytical methods mentioned in the job description, like evidence synthesis and horizon scanning. Be ready to discuss how you've applied these methods in your previous roles and how they can be beneficial for the Policy Directorate.
✨Showcase Your Communication Skills
Since you'll need to communicate complex findings to non-technical partners, practice explaining your past projects in simple terms. Use examples that highlight your ability to make intricate data accessible and relevant to decision-makers.
✨Demonstrate Project Management Experience
Prepare to talk about your experience managing multiple projects simultaneously. Highlight specific instances where you successfully led analytical activities, ensuring quality assurance and timely delivery of results.
✨Engage with Current Policy Issues
Stay updated on current science and health policy issues in the UK. Bring insights into how emerging trends could impact the Academy's work, and be ready to discuss how you would approach rapid response functions in this context.
