Consultant (R1010883) in London, UK at IQVIA™

Date Posted: 7/16/2019

Job Snapshot

  • Employee Type:
    Full-Time
  • Location:
    London, UK
  • Job Type:
  • Experience:
    Not Specified
  • Date Posted:
    7/16/2019
  • Job ID:
    R1010883

Job Description

IQVIA™ is the leading human data science company focused on helping healthcare clients find unparalleled insights and better solutions for patients. Formed through the merger of IMS Health and Quintiles, IQVIA offers a broad range of solutions that harness the power of healthcare data, domain expertise, transformative technology, and advanced analytics to drive healthcare forward.

Join the Centre of Excellence for Retrospective Studies to help us deliver high‑quality scientific research to our clients in the global pharmaceutical and healthcare industries.

Our goal is to contribute to the body of scientific evidence that allows medical practitioners to treat patients in the most effective way, and health systems to include as many patients as possible.

We use data, collected for clinical (and other) purposes to answer research questions such as "which treatment works best in the real world, beyond the clinical trial setting?" Our fast paced and supportive environment attracts individuals who care deeply about the quality, timeliness and subsequent impact of their work; who thrive when exposed to the scale and variety of scientific challenges we face.

Role Purpose
This role will offer you the opportunity to work on a variety of large patient-level datasets owned or accessible to IQVIA, working within a large and diverse team that includes leading experts in this fast-growing, high-interest field. The role will be focused on generating value and insight from the application of Real-World Data to solving healthcare-related problems for pharmaceutical and healthcare clients. This role requires capabilities in the preparation and analysis of anonymised patient-level data, according to agreed protocols and statistical analysis plans. The audience for these analyses will be various life-sciences customers as well as healthcare payers, providers and regulators. The successful candidate will have excellent skills in the presentation of analyses and in the communication of their findings, be that in tabular, graphical or descriptive form. You will also play a role in designing studies, providing input into proposals, protocols and/or the statistical analysis plan (SAP).

Principal Responsibilities:

Review and analyse client requirements, research questions or problems in order to deliver optimal solutions to meet their needs
Contribute to the decisions behind choosing appropriate approaches, data management, analytical and statistical design to meet study objectives. This may in the longer term also include interventional studies and direct collection of patient reported data
Support company-wide strategies for engaging and analysing novel datasets
Contribute to writing of study proposals, including statistical analysis sections
Development of SAPs (including table shells and figures), data extraction (using SAS/R/SQL), preparation and analyses according to study protocol or SAP
Develop and prepare abstracts, manuscripts and/or presentations to conferences for internal and external projects
Contribute to improving operational efficiencies of workflows, including writing of internal guidance documents, including SOPs and quality management documents

Requirements

Strong statistical programming skills in a statistical package
Post-graduate work experience in research environment after PhD or MSc
Experience in analysing data from prospective or retrospective epidemiological studies, including database analyses
Evidence of previous experience utilising large-scale anonymous patient level retrospective healthcare databases populated with EMR data such as the CPRD or THIN
Commitment to working collaboratively and effectively with people of other disciplines to accomplish goals
Good time management skills and programme acumen, to contribute to multiple projects with competing timelines
Ability to meet short deadlines with high quality deliverables
Strong written and verbal communication skills (including presentation and PowerPoint skills)
Fluency in English (spoken and written)

Preferred Qualities
Exposure to working with large epidemiological data
Ideally, prior experience working in a consultancy, CRO or other service sector in the healthcare industry
Excellent communication skills including high emotional intelligence
Knowledge of real-world data needs of pharmaceutical clients
Publications in peer reviewed journals, and abstracts (including presentations) in scientific conferences

 

Join Us

Making a positive impact on human health takes insight, curiosity, and intellectual courage. It takes brave minds, pushing the boundaries to transform healthcare. Regardless of your role, you will have the opportunity to play an important part in helping our clients drive healthcare forward and ultimately improve outcomes for patients.

Forge a career with greater purpose, make an impact, and never stop learning.



Job ID: R1010883