Senior Consultant - Evidence Synthesis (Health Economics)

About the role

The Evidence Synthesis practice within IQVIA's Real World Solutions (RWS) is looking for an experienced technical specialist to join its Centre of Excellence. The role combines technical leadership, strategic problem solving, coding and programming, business development, and coaching of junior team members. It covers feasibility assessments, direct and indirect treatment comparisons, population adjustment (MAIC, STC, ML-NMR), surrogate endpoint evaluation, structured expert elicitation, survival analyses and external comparator arms.

Key responsibilities

• Lead day-to-day evidence synthesis projects with junior support, including statistical analysis protocols, feasibility assessments and meta-analyses, indirect treatment comparisons or network meta-analyses with patient-level and/or aggregate RCT data
• Provide senior technical and statistical leadership and ad hoc problem-solving support
• Edit, review and develop scripts, and give technical guidance and quality control on protocols, analysis plans, reports and manuscripts
• Manage projects and engage with clients, and conceptualise engagements in response to requests for proposals
• Build and maintain client relationships and contribute to business development
• Drive the Centre of Excellence by developing innovative methods, publishing in peer-reviewed journals and conferences, and supporting product offerings and process optimisation
• Coach and train junior statisticians and project teams, and act as line manager for junior staff

Required profile

• Master's degree in (medical) statistics, biostatistics, mathematics, epidemiology, public health, health economics or a related discipline; PhD in health services research or statistics desirable
• At least 5 years of relevant experience as a statistician in consultancy, CRO, pharma/biotech or academia
• Understanding of the healthcare sector, pharmaceutical market and consulting methodologies; consulting delivery experience desirable
• CV must be submitted in English; no visa sponsorship offered

Required skills

• Bayesian statistics, generalized linear models, feasibility assessments, indirect treatment comparisons, MAIC/STC/ML-NMR, surrogate endpoints, structured expert elicitation, survival analyses
• Full proficiency in R and demonstrated coding in WinBUGS, OpenBUGS, JAGS; knowledge of Stan desirable
• Experience developing tools or automating ITC workflows, and assessing bias with RoB-2, ROBINS-I, GRADE, AMSTAR-2
• Scientific writing, excellent oral communication and project management skills