Senior Statistician - Evidence Synthesis
Confidential
Posted: January 30, 2026
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Quick Summary
We are looking for an experienced statistician who has an interest in applied statistical methods for evidence synthesis. The ideal candidate will have experience in contributing to the design and execution of mixed treatment comparisons. The role will be based in Oxford, London or home-based.
Required Skills
Job Description
We are looking for an experienced statistician who has an interest in applied statistical methods for evidence synthesis. We are looking for an enthusiastic and motivated individual who is proactive, shows initiative, and has experience in contributing to the design and execution of mixed treatment comparisons. The role will be based in either Oxford, London or home-based.
Source is an independent HEOR consultancy specialising in health economics, systematic review and health technology assessment. At Source, we have a supportive and friendly team who are focused on delivering high-quality evidence-based solutions for their clients.
Duties will include:
Leading on statistical projects, including:
Meta-analysis feasibility assessments
Pair-wise meta-analyses
Mixed treatment comparisons
Population-adjusted indirect comparisons
Undertaking project management activities on statistical projects, including:
Project planning
Client liaison
Managing and reviewing the work of other statisticians
Quality control
Contributing to the development of evidence synthesis proposals and pitch presentations
Contributing to the development of standard operating and quality control processes for evidence synthesis
Delivering training to statisticians, health economists, and systematic reviewers
Skills, Knowledge & Experience Required:
Master’s degree or above in medical statistics or other relevant quantitative discipline
Experience in meta-analysis
Experience in network meta-analysis (mixed treatment comparisons)
Experience in Bayesian methods for network meta-analysis
Experience in population-adjusted indirect comparisons
Experience with statistical software such as R or WinBUGS/OpenBUGS
A good understanding of clinical trials including heterogeneity and sources of bias
A good understanding of how meta-analysis results inform health economic models
Excellent attention to detail
Excellent verbal and written communication skills
The Package:
Competitive salary and benefits package.