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Gaining efficiencies with custom statistical solutions in a GxP setting

About this episode

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.

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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