Job description Posted 10 August 2021

Value Evidence and Outcomes (VEO) Real-World Analytics (RWA)

RWA Scientist Job Description

Contract until August 2022

U to £70 per hour via Umbrella




The Real-World Analytics (RWA) Scientist uses data and methodological expertise to develop study and protocol designs and statistical analysis plans (SAPs) for the analysis of existing complex health data sets, including real-world data (RWD). This work is conducted in collaboration with Scientists in the Value Evidence and Outcomes (VEO) organization, and other colleagues as part of matrix teams. These teams work to translate evidence needs into a robust program of studies to support appropriate access to and evidence for GSK medicines.



The responsibilities listed below outline the scope of the position. The application of these tasks may vary, based upon evolving business needs.


Design and Analysis

·      Manage a portfolio of work or individual studies to ensure delivery of quality work products to agreed timelines

·      Share RWD and methodological expertise with asset and therapy area (TA) teams, the broader RWA community, and/or bring that expertise to a matrix team to inform study planning, development, and delivery

·      Lead the development and delivery of analysis of existing complex health data sets. Responsibilities include: author protocol/statistical analysis plan (includes selecting approach to quantitative bias control, statistical power/precision, sample size), write programming code to conduct statistical analysis, critically review approach and results on an ongoing basis considering design assumptions and knowledge of the data, summarize analytic findings (including limitations) in oral or written form

·      Author specifications for analytic data sets for all RWA activities (rapid data queries (RDQ), retrospective observational studies, and other studies) to ensure appropriate interpretation and implementation of analytic design, in collaboration with RW Data Management and Programming (RWDMP). Review resulting deliverable(s) for accuracy/completeness

·      Ensure documentation is appropriate regarding data manipulation, statistical analysis, reporting

·      Author, maintain, finalize, and archive project delivery documentation for in-sourced studies in accordance with SOPs where appropriate

·      Perform quality control (QC) of work products from other colleagues

·      Provide RWD and methodological expertise to support study teams in out-sourced studies


Communication of Results

·      Assist with, or be responsible for, oral and written communication of analytic and study results

·      Co-author and bring statistical/methodological expertise in scientific publications of the in- or out-sourced RWD studies/analyses

·      Effectively present research results to study team and other collaborators, including results interpretation and drawing appropriate inferences based on study design/statistical methods as well as assessment of study limitations


Therapy Area Knowledge

·      Understand TA/asset in order to apply appropriate tools (e.g., variable definitions, code lists) and use appropriate data sources


Leadership and Teamwork

·      Maintain currency with methods for the use of existing complex health datasets for research

·      Develop in depth knowledge on the assigned asset and act as an RWA consultant within broader VEO team

·      Apply innovative methodology and approaches to solve critical problems

·      Merge scientific thinking and business knowledge to identify issues, evaluate options, and implement solutions

·      Proactively influence team members regarding appropriate research/statistical design and analytics delivery through various engagement forums: At the Value Evidence Team (VET), as part of a study team (in-sourced or out-sourced), and in coordination with the RWDMP team

·      Mentor team members, in particular RW Programmers



·      MS in a quantitative discipline such as epidemiology, health economics, health services research, health informatics, or biostatistics

·      Experience working with RWD for use in pharmacoepidemiology and/or health outcomes research with good practical knowledge of biostatistics applied to clinical/epidemiological research

·      Experience and practical knowledge of statistical/analytic software (e.g., SAS, R, IHD)

·      Excellent problem-solving and analytical skills and enjoy finding efficient and innovative solutions to challenging problems

·      Self-reliant with the ability to deliver robust, timely, high-quality analytics

·      Enthusiastic collaborator and enjoy working on a wide range of projects and requests across multiple TAs

·      Fluent in written and spoken English to effectively communicate and able to articulate complex concepts to diverse audiences



·      A good understanding of drug development processes and strategies, with proven ability to apply innovative statistical thinking to meet project and/or business objectives

·      PhD degree in a quantitative discipline such as epidemiology, health economics, health services research, health informatics, or biostatistics

·      3 years of experience working with RWD for use in pharmacoepidemiology research with good practical knowledge in biostatistics applied to clinical/epidemiological research



·      Ability to work and interact with matrix partners across the organization

·      Strong problem solving skills, ability to address conflicts/issues and make decisions to achieve results

·      Ability to work with a minimum of supervision

·      Excellent organizational and planning skills

·      Excellent communication skills