Senior Consultant - Evidence Synthesis; Health Economics; United Kingdom​/European Union

Client engagements

• Lead day-to-day activities of multiple evidence synthesis projects with the support of junior team members, including the development of statistical analysis protocols (SAP) and conduct of feasibility assessments, evidence synthesis by means of meta-analysis, indirect treatment comparison or network meta-analysis (frequentist or Bayesian) with patient-level and/or aggregate data from RCTs
• Provide senior technical and statistical leadership and effective ad hoc problem-solving support to the delivery of diverse evidence synthesis projects
• Edit, review, and develop scripts to ensure accurate and efficient implementation tailored to specific research problems. Full proficiency and demonstrable coding/programming experience in WinBUGS, OpenBUGS, JAGS and R is required, and knowledge of Stan is desirable
• Provide technical guidance, input and quality control for key deliverables (e.g., draft protocols, statistical analysis plans, reports, manuscripts)
• Support project implementation including overall project management and client engagement

• Conceptualize evidence synthesis engagements in response to client request for proposals
• Contribute to business development; build and maintain effective client relationships

• Establish research credentials and further the wider IQVIA profile in evidence synthesis through the development of innovative methods and the dissemination of research outputs in peer-reviewed journals and scientific conferences
• Support the development of product offerings and internal process optimization as part of the Centre of Excellence for Indirect Treatment Comparisons

• Coaching and training for junior statisticians and project delivery teams
• Serve as a line manager for junior staff members

Our industry-leading team is growing and seeking an experienced and enthusiastic technical specialist to support our Evidence Synthesis practice and Centre of Excellence (CoE). The role involves a blend of technical leadership, strategic problem-solving for complex research tasks, coding/programming, enhancing existing and developing new capabilities as senior member of our CoE, generation of business opportunities, as well as coaching and training of junior team members.

As technical lead, the role requires strong hands-on expertise across areas of evidence synthesis such as feasibility assessments, direct and indirect treatment comparisons, population-adjustment (MAIC, STC, ML-NMR), surrogate endpoint evaluation, structured expert elicitation, survival analyses, external comparator arms etc. Besides working in integrated teams across geographies and functions, a key part of the role is to build and maintain effective client relationships to add value in a rapidly evolving environment.,

In-depth expertise and hands-on experience with advanced evidence synthesis methods is essential. The role requires a good understanding of the health care sector and the pharmaceutical market, as well as general consulting methodologies and business practices. Experience in the delivery of consulting engagements is desirable., Master's degree in (medical) statistics, biostatistics, mathematics, epidemiology, public health, health economics or related discipline

PhD in a subject related to health services research or statistics is desirable

• At least 5 years prior relevant experience working as a statistician in consultancy, CRO, pharmaceutical/biotech or academia (as post-graduate researcher)
• Strong quantitative skills and experience with Bayesian statistics, generalized linear models, feasibility assessments, direct and indirect treatment comparisons (ITCs), population-adjustment (MAIC, STC, ML-NMR), surrogate endpoint evaluation, structured expert elicitation, survival analyses
• Strong programming skills in R and good command of Stan or WinBUGS/OpenBUGS/JAGS (other statistical software and decision support packages desirable), ability to provide evidence of this applied in a business or academic setting
• Experience developing tools or automating processes used in ITCs or broader statistical workflows in HTA,…