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Empowering the pharmaceutical workforce for the digital future

Natalie Maclean, Susanna Abrahmsén-Alami, Catriona Clark, Frederik Dörr, Alastair Florence, Jarkko Ketolainen, Morten Lindow, Jérôme Mantanus, Jukka Rantanen, Gavin Reynolds, Amy Robertson, Daniel Markl*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

The pharmaceutical industry is undergoing a rapid digital transformation. These changes are reshaping drug substance and drug product development and manufacturing, creating both opportunities and challenges that span pharmaceutical sciences, data science, and automation engineering. However, significant skills gaps persist, limiting the sector’s ability to fully leverage digital technologies and sustain innovation.

This paper explores the shifting digital and data science skills needs within the pharmaceutical industry, with a focus on industrial pharmacy and pharmaceutical sciences in the UK and Europe. We examine the key technological transformations reshaping the sector, the evolution of job roles, and the attributes required of the future workforce. Building on these insights, we propose an integrated approach to skills development that spans the entire career lifecycle – from embedding digital competencies in higher education to supporting lifelong learning through flexible, industry-aligned continuing professional development.

Addressing these skills gaps requires coordinated action from academia, industry, and policymakers. By fostering a collaborative, interdisciplinary, and adaptive learning ecosystem, the pharmaceutical sector can equip its workforce to thrive in a rapidly changing landscape and continue improving global health and wellbeing.
Original languageEnglish
Article number107449
Number of pages14
JournalEuropean Journal of Pharmaceutical Sciences
Volume220
Early online date21 Jan 2026
DOIs
Publication statusE-pub ahead of print - 21 Jan 2026

Funding

N.M., C.C., A.F. and D.M. would like to thank the Engineering and Physical Science Research Council Centre for Doctoral Training in Medicines Development and Manufacturing (CEDAR) (Grant Ref. EP/Y035593/1) and the Digital Design and Manufacture of Amorphous Pharmaceuticals, DDMAP (Grant Ref: EP/W003295/1), and the Digital Medicines Manufacturing (DM2) Research Centre Co-funded by the Made Smarter Innovation challenge at UK Research and Innovation (Grant Ref: EP/V062077/1) for supporting this work.

Keywords

  • digital skills
  • multi-disciplinary
  • data science
  • artificial intelligence
  • pharmaceutical science
  • chemical engineering

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