Health Economist

Costello Medical

Cambridge, UK

2d ago

We are currently recruiting for start dates throughout 2022, including July and September. Additional start dates may also be available and you will be asked to state your availability on your application form.

About the Role

Heath Economists at Costello Medical develop economic models to inform decisions on the efficient allocation of resources available to healthcare providers, and communicate these insights to a variety of stakeholders in the healthcare industry.

Economic models within the realm of healthcare are quantitative assessments of the impact of healthcare treatments, practices and policies, either through cost-effectiveness analyses or separate cost and benefit considerations.

These models are typically built in Microsoft Excel, C++, or R, employing universal mathematical and statistical modelling techniques.

The models developed by Health Economists have real world implications, aiming to improve the efficiency of healthcare systems by using robust methodological frameworks to inform decision-making.

Producing an economic evaluation therefore requires Health Economists to :

Research and critically appraise medical and economic literature

Liaise with external medical professionals

Work collaboratively with colleagues across healthcare disciplines

Understand the theoretical health economic framework and apply this to the project at hand

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

Model development can frequently involve fitting statistical distributions and parametric survival curves to clinical data and therefore requires a good knowledge of statistics.

What Background Should You Have?

Applicants should have a genuine interest in the healthcare industry and a strong desire to contribute to this setting.

Qualities and experience required include :

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.

Formal degree-level or higher (i.e. postgraduate) training in statistics or modelling is desirable, though not required.

However, applicants should feel comfortable with statistical concepts

Advanced skills in Excel and knowledge of VBA are required. Familiarity with other software (such as R, C++, SAS) are desirable but are not required.

A willingness to learn new technical and programming skills is 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

Flexibility to respond to changing deadlines

Desired requirements for the role are :

Experience of having applied economic and mathematical modelling techniques in an industry setting

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