This post provides an exciting opportunity for a talented statistician to contribute to the development of impactful statistical methodology and to healthcare policy. You will contribute to developing methods for Multilevel Network Meta-Regression (ML-NMR), combining evidence from multiple trials with mixtures of individual participant and aggregate data, in order to produce population-adjusted estimates of treatment efficacy. These methods are increasingly prevalent in health technology assessment, and are used by manufacturers making submissions to regulators such as the National Institute for Health and Care Excellence (NICE). You will apply this methodological work and gain expertise in wider evidence synthesis methods by joining the Bristol Technology Assessment Group (TAG), which is contracted by the NIHR to conduct independent reviews of healthcare technologies, supporting the NICE guidance committees and other policy makers. Bristol is a centre for methodological excellence in evidence synthesis and health technology assessment, having developed many of the methods used as standard practice in NICE technology appraisals.