At a Glance
- Tasks: Deliver high-quality statistical projects for global pharma and biotech clients.
- Company: Dynamic team focused on health economics and market access.
- Benefits: Competitive salary, professional development, and impactful work.
- Other info: Collaborative environment with opportunities for mentorship and growth.
- Why this job: Combine your statistical expertise with real-world impact in healthcare.
- Qualifications: PhD or Master’s 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.
- 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 (PhD) employer: Warman O'Brien
Join a dynamic and innovative team as an HTA Statistician, where your expertise in statistics and health economics will directly influence global market access strategies for leading pharmaceutical and biotech clients. Our collaborative work culture fosters professional growth through mentorship and continuous learning opportunities, while our commitment to high-quality evidence synthesis ensures that your contributions are both meaningful and impactful. Located in a vibrant area, we offer a supportive environment that values diversity and encourages creative problem-solving.
