Job OverviewAnalysts are key team members who are responsible for implementing methodologically rigorous evidence synthesis research under the guidance of senior staff.
They work independently and as part of a team, act on anticipated project needs, and problem solve.Responsibilities
Synthesize data quantitatively (meta-analysis and NMA) and qualitatively with minimal supervision.
Take responsibility for SLR related tasks including developing search strategies, protocols, analytic plans, and quality control.
Deliver quality that exceeds client's expectations.
Assisting in preparation of abstracts, manuscripts and oral presentations, including development of slides and posters for presentation of project results at conferences.
Drafting significant sections of study protocols, reports, and other client facing documents.
Organizing and help manage research projects.
Reviewing and providing relevant epidemiological and project-specific comments to statistical analysis plans and analysis output.
Reviewing and providing input for scientific tasks including CRF / eCRF development, form previews and other ad hoc project tasks (, regulatory responses, slide deck development).
Actively participating in client-facing project meetings and being a recognized member of the project team.
Conduct statistical analysis as needed.
Write reports and develop slide decks on methods and results.
Help prepare proposal drafts, including background research and writing methods sections.
Work without supervision independently and / or as part of a project team on defined tasks.
Assist with overall project management and client management.Required knowledgeExcellent knowledge of systematic literature review (SLR) methods, guidelines and best practices.
Experience conducting meta-analysis, network meta-analysis (NMA), and / or experience with Bayesian analysis, using R, STATA, or SAS.
Must have advanced statistical training or equivalent experience, and comfortable with conducting analyses independently.Qualifications
Master s degree in epidemiology, biostatistics, pharmacology, or public health
3+ years' of working experience in evidence synthesis research, preferably in consulting, pharmaceutical or other healthcare industry, academia.
Strong quantitative background with a demonstrated ability to independently conduct analyses using a statistical program (, meta-regression, multivariate regression)
Exceptional attention to detail
Strong ability to interpret results and strategically apply them to support client's needs
Solid understanding of SLR concepts, guidelines, and required rigor
Competency in using PowerPoint, Excel, Word, and one statistical program
Fluency in English (spoken and written); strong business / scientific written English
A pragmatic and logical problem solving approach to projects
A good understanding of project management with proven time management and personal organizational skills
A commitment to working collaboratively and effectively with others in and across the team to accomplish goals.At IQVIA, we believe in pushing the boundaries of human science and data science to make the biggest impact possible - to help our customers create a healthier world.
The advanced analytics, technology solutions and contract research services we provide to the life sciences industry are made possible by our 70,000+ employees around the world who apply their insight, curiosity and intellectual courage every step of the way.
Learn more at IQVIA is a world leader in using data, technology, advanced analytics, and expertise to help customers drive healthcare - and human health - forward.
Together with the companies we serve, we are enabling a more modern, more effective and more efficient healthcare system, and creating breakthrough solutions that transform business and patient outcomes.
To get there, it takes diverse skills and a curiosity to explore new possibilities. No matter your role, everyone at IQVIA, including our colleagues at Q² Solutions, contributes to our shared goal of improving human health.
Thank you for your interest in growing your career with us.EEO Minorities / Females / Protected Veterans / Disabled