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Client:
1925 GlaxoSmithKline LLC
Location:
Job Category:
Other
EU work permit required:
Yes
Job Reference:
04d442ef6b26
Job Views:
23
Posted:
23.01.2025
Expiry Date:
09.03.2025
Job Description:
The Real World Analytics (RWA) Scientist uses data and methodological expertise to develop study 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 Epidemiology and Medical Evidence Generation organizations, 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. Your work will focus primarily on the Respiratory & Immunology Research Unit, including Respiratory, Hepatology, Neurodegeneration, Connective Tissue, Renal, and Immuno inflammation/Dermatology disease areas.
SPECIFIC RESPONSIBILITIES
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 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 or new complex health data sets. Responsibilities include: author protocol/statistical analysis plan (includes selecting approach to quantitative bias control, statistical power/precision, sle 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.
* As needed, provide RWD and methodological expertise to support study teams in out sourced studies.
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