
Evidence Synthesis Senior Consultant - HEOR
- London
- Permanent
- Full-time
- 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
- Master’s degree in (medical) statistics, biostatistics, mathematics, epidemiology, public health, health economics or a 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 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
- Strong quantitative skills and experience with Bayesian statistics, generalized linear models, feasibility assessments, direct and indirect treatment comparisons, population-adjustment (MAIC, STC, ML-NMR), surrogate endpoint evaluation, structured expert elicitation, survival analyses
- Excellent analytical and problem-solving skills, including in the context of client strategic challenges
- Excellent scientific writing skills. Publication track record is desirable but not necessary
- Excellent oral communication skills and ability to convey technically complex issues to non-technical audiences and teams; prior coaching and training experience is desirable
- Good understanding of related HEOR domains (e.g. systematic literature reviews, health economic modelling)
- Good team-based interpersonal skills but also an ability to work independently
- Strong attention to detail
- Good project management skills with proven time management and organizational skills