 A reproducible pharmacometric analysis workflow was developed during a large clinical trial involving 1,000 participants over one year testing Bacillus calmetgerin bcg re vaccination in coronavirus disease 2019 COVID-19 morbidity and mortality in frontline healthcare workers. The workflow was designed to review data iteratively during the trial, compile frequent reports to the DSMB and prepare for rapid pharmacometric analysis. Clinical trial data sets were transferred iteratively throughout the trial for review and our markdown-based pharmacometric processing script was written to automatically generate reports for evaluation by the DSMB and the same source data was used to create analysis data sets in non-MEM format and to support model script development. The primary endpoint analysis was completed three days after data lock and unblinding and the secondary endpoint analyses two weeks later. The constructive collaboration between clinical data management and pharmacometric teams enabled this efficient timely and reproducible pharmacometrics workflow. This article was authored by Rob C. Van Wicht, Lorena's Mocky Leuners, German Van den Hugen, and others. We are article.tv, links in the description below.