Health Economist

Costello Medical; Hartford; Hybrid; GBP 35,000 - 50,000; Full time

Job summary

A healthcare consultancy firm is looking for a Health Economist to develop economic models that inform healthcare decision-making. This full-time role requires advanced skills in Excel, proficiency in statistical techniques, and an ability to communicate complex information effectively. The position offers hybrid working and a supportive work environment aimed at continuous skill development.

Benefits

Discretionary profit share bonuses

Private medical insurance

Full funding for external training

Generous holiday allowance

Qualifications

• Degree level qualification showcasing mathematical ability.
• A-level Mathematics minimum B grade or Master's in a quantitative discipline.
• Experience with economic and mathematical modelling techniques.

Responsibilities

• Develop models for healthcare resource allocation.
• Research and appraise medical economic literature.
• Work collaboratively with external medical professionals.

Skills

Advanced skills in Excel

Knowledge of R

Knowledge of C++

Strong organizational skills

Excellent communication skills

Education

Degree in mathematics, economics, physics, or computer science

A-level in Mathematics (minimum B grade)

Postgraduate training in statistics or modelling

Tools

Microsoft Excel

VBA

STATA

Job description

Responsibilities

• You will be responsible for developing economic models to inform decisions on the efficient allocation of resources available to healthcare providers, and communicating these insights to a variety of stakeholders in the medical sector. These models are quantitative assessments of the impact of healthcare treatments, practices and policies, either through cost-effectiveness analyses or separate cost and benefit considerations. They are typically built in Microsoft Excel, R, or C++, employing universal mathematical and statistical modelling techniques. Model development can frequently involve fitting statistical distributions and parametric survival curves to clinical data and therefore requires a good knowledge of statistics. In this role, you will typically be working on multiple projects at any one time, starting at around 3 to 4 projects at a time when you join us. The models developed by our team have real-world implications, aiming to improve the efficiency of healthcare systems by using robust methodological frameworks to inform decision-making.

Responsibilities (continued)

• Research and critically appraise medical and economic literature
• Understand the theoretical health economic framework and apply this to the project at hand
• Liaise with external medical professionals
• Work collaboratively and build relationships with colleagues across healthcare disciplines
• Build high-quality, technically robust and clinically valid models in Microsoft Excel or other software
• Interpret and analyse model results, producing technically accurate written reports of methodologies and outcomes

Qualifications

• A degree level or higher qualification in a relevant discipline (minimum 2.1). Relevant disciplines are those that demonstrate a high level of technical and mathematical ability, such as mathematics, economics, physics or computer science
• An A-level in Mathematics (minimum B grade or equivalent) or a Master's degree in a quantitative discipline (graded Merit or above)
• Advanced skills in Excel and knowledge of VBA. A willingness to learn and improve technical and programming skills is also important for the role
• Excellent written and oral communication skills and the ability to explain complex modelling techniques and results to non-experts
• The ability to use your initiative and work independently, in addition to working collaboratively within project teams
• A high degree of accuracy and attention to detail in both quantitative and qualitative settings
• Strong organisational skills, the ability to plan your own work effectively and the flexibility to respond to changing deadlines
• Integrity, a proactive approach to your work, and a keen interest in developing your skills
• Formal degree level or higher qualification (i.e. postgraduate) training in statistics or modelling (minimum 2.1)
• Familiarity with other software such as R, C++, STATA
• Experience of having applied economic and mathematical modelling techniques in an industry setting

Additional information

• As an equal opportunity employer, we are committed to fostering a diverse and inclusive workforce and, throughout the recruitment process, there are a number of reasonable adjustments we can provide. Details available on request.
• Visa Sponsorship: Due to the Skilled Worker visa regulations, you will only be eligible for visa sponsorship if you are classified as a New Entrant, which includes applicants who are under the age of 26, currently studying in the UK or a recent graduate in the UK, amongst other qualifying criteria.
• Please read more about the New Entrant criteria on the UK government website.
• Hybrid Working Policy: We offer flexible working arrangements that allow colleagues who have passed probation to work from home up to half their time, measured across a 2-week rolling period. During the probationary period (normally the first 6 months), you will be able to work from home 1 day per week.
• A Day in the Life of a Health Economist and Career Profile information is available in the application materials.
• (Please note) salary bands are established to ensure a fair and consistent approach for all applicants, eliminating the need for individual negotiations.
• Benefits include: discretionary profit share bonuses, hybrid and flexible working options, generous holiday allowance, private medical insurance, critical illness cover, income protection, full funding for external training, and more.
• Role Type: Full-time, permanent
• Start Date: September 2025 onwards, with availability to be stated on the application
• Location: Global Headquarters