Over thousands of outputs (tables, graphs and listings) may need to be generated each year for filing, external publications, internal read outs and other activities in a pharmaceutical company. Although most of these outputs could be produced …
Programming is ubiquitous in applied biostatistics, and most statisticians know a programming language such as R - yet software engineering is still neglected as a skill and undervalued as a profession in pharmaceutical statistics. Why is this a …
Streamlining clinical trial output workflows is a key challenge for clinical studies. Our project leverages Python to link the planned analysis stored in a google sheet LoPO (List of clinical study Planned Outputs) to the study scripts that generates …
Historically building a great SCE for clinical reporting involved selecting a vendor, integrating their product, and supporting a single proprietary language. The shift to report clinical trials using R has had a much broader impact than just …
The Pharmaceutical industry is adopting new tools and technologies, putting pressure on individuals to learn many new skills in a short period of time. In order to both promote these new ways of working, and to assist those adopting it, at Genentech …
The job of a data scientist working on a clinical trial team in the pharmaceutical industry is to provide the most accurate analysis possible in order to enable valid insights from the data. Ensuring data quality is extremely hard work and there are …
Roche/Genentech, GSK, Atorus and J&J/Janssen have initiated a collaboration called pharmaverse to bring together a curated subset of open-source R packages to enable clinical reporting (from CRF to eSubmission). Where gaps are identified, new …