Senior Health Economist

Job summary

Are you passionate about using economics, data and evidence to improve health and care? The Health Economics Unit is seeking a talented Senior Health Economist to join our growing team and contribute to impactful projects across the NHS, academia and industry.

In this role, you will undertake hands-on economic modelling, real-world evidence analyses and evaluations to support healthcare decision-making, innovation and service improvement. You will work on a diverse range of projects including digital health, population health, health inequalities, service transformation and healthcare innovation, applying advanced analytical methods to address complex healthcare challenges.

You will have the opportunity to work with unique datasets, develop economic and statistical models, contribute to nationally recognised projects, and collaborate with leading experts from across the NHS, academia and industry.

Most importantly, you will join a passionate, supportive and collaborative team that is committed to delivering outstanding work, sharing knowledge and helping colleagues develop and succeed. We foster an environment where people are encouraged to learn, innovate and grow, while making a meaningful contribution to improving health outcomes and reducing inequalities.

If you are intellectually curious, motivated by real-world impact and excited by solving complex problems, we would love to hear from you.

Main duties of the job

• You will play a key role in delivering health economics, outcomes research and evaluation projects that support healthcare decision-making, innovation and service improvement across the NHS, academia and industry. Working as part of a multidisciplinary team, you will undertake hands-on economic modelling, real-world evidence analyses and evaluations, applying health economics, statistical and econometric methods to address complex healthcare challenges.
• You will develop economic evaluations, budget impact analyses, return on investment models and other analytical approaches using healthcare datasets and published evidence. You will contribute specialist expertise in economic modelling, outcomes research and quasi-experimental evaluation methods, helping generate robust evidence to inform policy, commissioning and service redesign decisions.
• You will work closely with clients, clinicians, commissioners and other stakeholders, communicating complex findings clearly and contributing to reports, publications and presentations. The role requires strong quantitative and problem-solving skills, excellent communication skills, and a passion for improving health and care through evidence-based decision-making.
• You will join a supportive, collaborative and ambitious team that values innovation, continuous learning and making a meaningful impact on health outcomes and inequalities.

Person Specification

Education/ qualifications

Essential

• Master’s degree in Health Economics, Economics, Econometrics, Actuarial Science, Statistics, Operational Research, Mathematics, Data Science or a related quantitative discipline; or a Master’s degree containing substantial health economics, economic evaluation or outcomes research content
• Alternatively, equivalent knowledge and experience gained through working in health economics, outcomes research, healthcare analytics or a related field.

Desirable

• Formal training in health economics, economic evaluation, outcomes research, epidemiology or advanced analytical methods
• Evidence of continuing professional development in health economics, modelling, healthcare analytics or related disciplines

Experience

Essential

• Experience applying health economics, outcomes research and evaluation methods within healthcare, public sector, academic or consultancy settings
• Experience undertaking economic evaluations including cost-effectiveness analysis (CEA), cost-utility analysis (CUA), cost-consequence analysis (CCA), budget impact analysis (BIA), return on investment (ROI) or related approaches.
• Experience developing and applying health economic models and analytical frameworks
• Experience analysing healthcare, public health or administrative datasets using appropriate analytical techniques
• Experience using specialist analytical and modelling software such as Excel, R, Stata, Python or equivalent tools
• Experience applying econometric, statistical or quasi-experimental methods such as regression analysis, propensity score matching, difference-in-differences or interrupted time series analysis
• Experience supporting the supervision or development of junior analysts, researchers or students

Skills/knowledge/ abilities

Essential

• Good knowledge of health economics, outcomes research and economic evaluation methodologies.
• Knowledge of healthcare evaluation methods, epidemiology, statistics and applied analytical techniques.
• Experience developing and applying economic models, including budget impact models, decision trees, Markov models or related approaches
• Good understanding of NHS structures, healthcare policy and the context in which analytical evidence informs decision-making.

Desirable

• Experience applying advanced modelling approaches such as partitioned survival models, discrete event simulation or patient-level simulation.
• Experience using VBA, SQL, GitHub, reproducible analytical pipelines or advanced programming techniques.
• Knowledge of qualitative research methods or mixed-method evaluations.
• Use of Python and Power BI

Closing Date: 6 August 2026