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
* Leading on statistical projects, including:
o Meta-analysis feasibility assessments
o Mixed treatment comparisons
o Population-adjusted indirect comparisons
* Undertaking project management activities on statistical projects, including:
o Project planning
o Managing and reviewing the work of other statisticians
o Quality control
o Contributing to the development of evidence synthesis proposals and pitch presentations
o Contributing to the development of standard operating and quality control processes for evidence synthesis
o 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 population-adjusted indirect comparisons
* Experience with statistical software 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.
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