Senior Consultant, Stats (R1034221) in London, UK at IQVIA™

Date Posted: 11/13/2018

Job Snapshot

  • Employee Type:
  • Location:
    London, UK
  • Job Type:
  • Experience:
    Not Specified
  • Date Posted:
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Job Description

Job Description: Senior Statistician / Senior Consultant

Department: HEOR Team

Location: London or Amsterdam

Duration: Permanent

The team & the company

IQVIA Real-World Insights (RWI) is a fast-growing and highly successful consultancy business, focusing upon on delivering tangible business results to our clients who are key decision-makers and business managers across the international pharmaceutical and healthcare industry. With direct access to the world’s most comprehensive healthcare information, analytic and research resources, IQVIA RWI experts deliver deep insights derived from statistical analyses of healthcare data.

The IQVIA HEOR team includes around 200 highly qualified multi-disciplinary professionals in a variety of health economics, statistics, health and epidemiology-related disciplines based in 12 geographies and has delivered projects covering over 50 countries. Our North Europe, Middle East, Africa (NEMEA) HQ is situated in King’s Cross, London.

Our clients operate in the life sciences industry, including the global top 20 pharmaceutical, medical device and biotech companies, as well as public health providers and regulatory authorities. They are looking for insight and evidence around the safety, efficacy, effectiveness and cost-effectiveness of health care delivery systems, medical devices, and pharmaceutical products spanning the full spectrum of therapeutic and disease areas. Our diverse mix of clients, the breath of disease areas, as well as increasing access to novel data sources and methodologies provide a constant and rewarding challenge for our people.

For more information about our company please visit our website:

Role purpose

This role will offer you the opportunity to support the Health Economics team. This role requires capabilities in the preparation and analysis of (patient-level and aggregate) data, according to agreed protocols and statistical analysis plans as well as leading more than one project running in parallel. Typical projects include (network) meta-analyses, survival analyses, retrospective data analyses, but also could include advanced economic models (e.g. dynamic transmission models for infectious diseases), depending on the background and experience of the analyst. 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 support the design of these type of studies, provide input into proposals, protocols and statistical analysis plans (SAP), as well as, helping to ensure high quality outputs by contributing to the preparation of the data, the R/SAS/WinBUGS/STATA scripts, quality control of deliverables and interpretation of the results.

Qualifications and Skills

  • BSc or equivalent in statistics, biostatistics, (applied) mathematics
  • MSc or PhD or equivalent in statistics, biostatistics, epidemiology, (applied) mathematics

    or related discipline or equivalent work related experience

  • Relevant prior experience working in a consultancy, CRO, pharmaceutical/biotech companies or other service sector in the healthcare industry
  • Strong statistical programming skills in R and one of the WinBUGS, OpenBUGS, JAGS or similar
  • Experience with generalized linear models, Bayesian statistics and survival analysis
  • Experience with project management in a consultancy, CRO or other service sector in the healthcare industry
  • Strong written and verbal communication skills with fluency in English
  • Good team-based interpersonal skills
  • Excellent attention to detail and ability to check own work so that drafts are delivered to a high quality
  • Strong time-management and organisational skills
  • Attitude to work well as a team member and to build and manage relationships in a multi-cultural environment
  • Enthusiasm for statistics, including a flexible & problem-solving mindset

Preferred Qualities

  • Good understanding of network meta-analysis studies is a plus
  • Good understanding of economic models for health economic evaluation (e.g. Markov models) is a plus
  • Good command of SAS, STATA and Visual Basic (VBA) for Excel
  • Understanding of retrospective patient-level studies (including database analyses)


  • Contribute to writing of study proposals, including statistical analysis sections
  • Conduct evidence synthesis by means of meta-analysis, indirect treatment comparison or network meta-analysis (frequentist or Bayesian) using patient-level and/or aggregate data (e.g. from literature review) using R, WinBUGS/OpenBUGS or JAG
  • Conduct survival analysis using R or SAS
  • Specify and/or extract data from databases using SAS/R; prepare and analyse datasets according to study protocol and SAP
  • Write and present results of analysis appropriate for the intended audience
  • Assist in the dissemination of any clinically relevant findings through articles, posters and presentations

Next steps:

You will be contacted by one of our recruiters to arrange a prescreen call should your background be relevant for this opportunity who will be able to give you more information on this team and the opportunity and also explain the assessment process to you for this role.

Job ID: R1034221