Join us on our exciting journey! IQVIA™ is The Human Data Science Company™, focused on using data and science to help healthcare clients find better solutions for their patients. IQVIA offers a broad range of solutions that harness advances in healthcare information, technology, analytics and human ingenuity to drive healthcare forward.
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
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.
REQUIRED KNOWLEDGE
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.
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
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
QUALIFICATIONS, EXPERIENCE, TECHNICAL AND PERSONAL 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
Essential skills, knowledge and personal behaviours
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 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
Please submit your CV in English.
IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com
IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.
