Description
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.
As a senior statistician, you will have a blend of technical leadership, strategic problem-solving for complex research tasks, coding/programming, enhancing existing and developing new capabilities as a senior member of our CoE, generation of business opportunities, as well as coaching and training of junior team members.
Responsibilities
- Client engagements:
+ Lead day-to-day activities of multiple evidence synthesis projects with the support of junior team members + 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 + Provide technical guidance, input and quality control for key deliverables + 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 Skills
- 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) + 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