Statistician - Health Economics

Statistician - Health Economics

Full-Time 50000 - 65000 £ / year (est.) No working from home possible
Warman O'Brien

At a Glance

  • Tasks: Deliver high-quality statistical projects for global pharma and biotech clients.
  • Company: Join a growing team focused on health economics and evidence synthesis.
  • Benefits: Competitive salary, professional development, and impactful work in healthcare.
  • Other info: Support junior team members and contribute to innovative methodology development.
  • Why this job: Combine your statistical skills with real-world impact in market access strategies.
  • Qualifications: Master’s or PhD in a quantitative field and 3+ years of relevant experience.

The predicted salary is between 50000 - 65000 £ per year.

We are supporting a growing team looking for an HTA Statistician to deliver high-quality statistical and evidence synthesis projects for global pharmaceutical and biotech clients.

This role is ideal for someone with a background in statistics, health economics, evidence synthesis or HTA, who enjoys applying advanced quantitative methods to support market access, payer evidence and reimbursement strategy.

You will work as part of a multidisciplinary team, providing methodological input across projects from planning through to delivery, with a focus on meta-analysis, indirect treatment comparisons and payer-relevant evidence generation.

Key Responsibilities
  • Provide statistical and methodological input across evidence synthesis, HTA and market access projects.
  • Design and deliver analyses including network meta-analysis, indirect treatment comparisons, meta-regression and advanced analytics.
  • Support evidence generation plans by identifying evidence gaps, data sources and appropriate analytical approaches.
  • Review SLR data and assess feasibility, heterogeneity and suitability for evidence synthesis.
  • Develop technical documentation, statistical analysis plans and materials to support economic models and reimbursement submissions.
  • Interpret complex findings and communicate them clearly to internal teams, clients and external stakeholders.
  • Support junior team members and contribute to methodology development and thought leadership.
What You’ll Bring
  • Master’s or PhD in statistics, biostatistics, health economics, health policy, mathematics or another quantitative field.
  • 3+ years’ experience within pharma, consultancy, HTA, reimbursement, academia or a related healthcare evidence setting.
  • Strong understanding of Access, HTA, payer evidence requirements and clinical development.
  • Hands-on experience across statistical analysis and evidence synthesis methodologies.
  • Strong skills in R, with experience in tools such as WinBUGS, JAGS, SAS, Python, Stata or GitLab beneficial.
  • Excellent communication skills, with the ability to explain complex methods to technical and non-technical audiences.
  • Strong organisation, prioritisation and project delivery skills.

This is a great opportunity to combine technical statistical expertise with real strategic impact across payer evidence, HTA submissions and global market access.

What to do next… Apply directly or send your resume to brook@warmanobrien.com.

Statistician - Health Economics employer: Warman O'Brien

Join a dynamic and innovative team where your expertise as an HTA Statistician will directly influence global market access strategies for leading pharmaceutical and biotech clients. Our collaborative work culture fosters professional growth, offering opportunities to mentor junior colleagues and engage in thought leadership while working on impactful projects that shape healthcare outcomes. Located in a vibrant area, we provide a supportive environment that values your contributions and encourages continuous learning and development.

Warman O'Brien

Contact Details:

Warman O'Brien Recruitment Team

We think you need these skills to ace Statistician - Health Economics

Statistical Analysis
Evidence Synthesis
Health Economics
HTA (Health Technology Assessment)
Meta-Analysis
Indirect Treatment Comparisons
Meta-Regression