An exciting opportunity for a Statistician, with a focus on Health Economics and Outcomes Research (HEOR) projects.

You will play a key role in providing statistics expertise across the department’s projects, with a focus on Health Economics and Outcomes Research (HEOR) projects. I am looking for someone who can bring scientific rigor to statistical analyses and who is motivated to work at the cutting edge of methods. This opportunity will require someone who can apply their statistical expertise to the analysis of clinical trial data and real-world data alike.

This is a rare opportunity to work within a team that works across the healthcare and life sciences markets, combining health expertise with innovative approaches from our work in other sectors to tackle leading health issues. Examples of the types of projects that undertaken for clients cover:

• Analysis of clinical trial data for use in health economic modelling
• Evidence synthesis projects including indirect treatment comparisons
• Advanced study designs including external comparator arms and quantitative bias analysis
• Real world evidence studies using electronic healthcare records, registries, biobanks and databases
• Innovative approaches to identifying and quantifying unmet need and inequalities
• Manuscript writing

The role:

As a Statistician you will be involved in a diverse range of projects, covering both client and non-client work.

Your main responsibilities will be to:

• Demonstrate expertise in statistical methods
• Contribute to various stages of projects including:
• Proposal development
• Protocol development
• Execution of statistical analyses
• Quality control
• Report writing
• Support the development of other team members, including:
• Contributing to team training
• Contributing to the development of internal resources, tools and processes
• Contribute to developing innovative technology and advanced methods capabilities in this space (e.g. machine learning, quantitative bias analysis, Bayesian methods)

Ideal profile:

• MSc/PhD in relevant field (health, statistics, mathematics, economics etc.)
• Demonstrable experience in a statistical role, with consultancy experience preferable
• An excellent grounding in relevant methods and analytical best practice with demonstrated experience in conceptualising and delivering previous studies and projects
• Experience in methods for indirect comparison or external comparator arms (e.g. NMA, MAIC and similar methods) is desirable
• Experience of analysing patient-level data from clinical trials and using survival analysis methods is desirable
• Excellent Microsoft Office skills and be highly competent in the use of Outlook, Excel, Word, and PowerPoint
• Programming experience in R or Python is highly desirable, but not essential

Great benefits package and long term progression on offer!

Apply now or reach me at for more info!