Employer name: Health Economics and Outcomes Research Ltd
Salary: £35,000-£60,000 dependent upon experience

Statistician – Health Economics and Outcomes Research Ltd

Health Economics and Outcomes Research (HEOR) Ltd is an independent consultancy specialising in the application of health economic techniques to support pharmaceutical pricing, reimbursement and market access activities.  We currently have a team of 60 researchers based in the UK and Germany who specialise in the development of mathematical disease models, the statistical analysis of clinical trial and real-world databases and who perform systematic literature reviews and meta-analysis.

Our clients are global pharmaceutical companies and our projects encompass a broad range of applications across all disease areas.  Our work typically requires novel analytical approaches resulting in opportunities to publish in peer-reviewed journals and present at international conferences.


Within our growing team we are seeking to recruit a statistician/analyst. The successful candidate will have, as a minimum, a BSc or equivalent in statistics, biostatistics or applied mathematics; ideally with a postgraduate qualification in an applied quantitative discipline such as statistics, econometrics or epidemiology combined with previous experience within academia or industry.

The successful candidate must be familiar with the development, testing, validation and reporting of a wide variety of statistical approaches to modelling healthcare data (both real-world and clinical trials). For example, parametric and non-parametric multivariate survival analysis, multilevel regression modelling, generalised linear models and multiple imputation. Analysis from both frequentist and Bayesian perspectives is also a pre-requisite. Experience with statistical data modelling in R and Winbugs would be a distinct advantage as would experience in techniques for evidence synthesis.

Routine activities would include:

  • The development of study protocols and statistical analysis plans.
  • Undertaking the statistical analysis of clinical trial and real-world observation data.
  • Communicating study results via reports and presentations and the development of abstracts for submission to international conferences.
  • Writing manuscripts for submission to peer-review journals and the presentation of research at international conferences.

Skills & Experience:

  • Proven analytical, interpretative and problem-solving skills
  • Experience of statistical programming in R
  • Fluency in English (both written and verbal)
  • Strong interpersonal and relationship building skills
  • Excellent IT literacy
  • Good project management, time management and organisational skills
  • Attention to detail and ability to deliver high quality work to demanding timelines
  • A self-starter who thrives in a client-focused environment and able to communicate complex ideas to non-experts

Qualifications & Other Requirements:

In addition to the skills and experience outlined above, the successful candidate will have:

  • A good undergraduate degree with a strong quantitative track record in mathematics/statistics/biostatistics
  • Postgraduate qualification in an applied quantitative discipline such as statistics, econometrics or epidemiology
  • A strong commitment to high quality work and an interest in rapid learning and skill development
  • A willingness and ability to travel

Key Benefits:

Salary: £35,000-£60,000 dependent upon experience

Opportunity to join Company Private Health Insurance scheme

Flexible working environment and highly varied work

Exposure to work on a variety of interesting and innovative scientific studies. The company has clients and academic collaborations across the world, and this leads to a dynamic and rewarding workplace with a friendly and vibrant work environment.

How to Apply

To apply, please send your CV and cover letter to This email address is being protected from spambots. You need JavaScript enabled to view it.


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