Gaining efficiencies with custom statistical solutions in a GxP setting
- Listen time: 14m
Synopsis:
A lot of statistical work within pharmaceutical companies is repetitive and this costs money and resources, especially if it’s done within GxP environments where there is often a need for double programming, extensive data quality control and meticulous follow-up of procedures. The podcast explores requirements and ways to develop fully automated solutions and processes to address this repetition and improve overall business efficiency.
A lot of statistical work within pharmaceutical companies is repetitive and this costs money and resources, especially if it’s done within GxP environments where there is often a need for double programming, extensive data quality control and meticulous follow-up of procedures. The podcast explores requirements and ways to develop fully automated solutions and processes to address this repetition and improve overall business efficiency.
Bio:
Davor Josipovic is senior manager statistics and data science at PharmaLex, focusing on developing innovative solutions for questions the pharmaceutical industry faces, using applied mathematics, probabilistic modelling and machine learning.
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