Business area overview
The Evidence Synthesis practice is part of the IQVIA Real World Solutions (RWS). RWS brings together IQVIA initiatives that connect healthcare stakeholders through real-world evidence to demonstrate the value of medicines, enhance quality and drive improved outcomes.
Overview of the role
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.
RESPONSIBILITIES
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
Business development
- Conceptualize evidence synthesis engagements in response to client request for proposals
- Contribute to business development; build and maintain effective client relationships
Driving development
- 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
Mentoring
- Coaching and training for junior statisticians and project delivery teams
- May serve as a line manager for junior staff members
QUALIFICATIONS, EXPERIENCE AND SKILLLS
Essential qualifications
- 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
- Fluency in English
Essential skills and knowledge
- 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, preferably in R, Stan or any other relevant programming language.
- Experience in clinical comparison across the evidence base (e.g., assessment of cross-trial heterogeneity in populations, interventions, outcomes and study design) and hands-on familiarity with tools to assess the quality and risk of bias of the included evidence (e.g., RoB-2, ROBINS-I, GRADE, AMSTAR-2)
- 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
- 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
- Good project management skills with proven time management and organizational skills
**Resume must be submitted in English
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