Quantifying Biopharma Talent Trend Dynamics

A Segmented Analysis of CMOs, CGTs, and Pharma

Jason Beckwith , PhD; Paul Rooney ; Stephen Goldrick , PhD; William Nixon, PhD; Stavros Kourtzidis , PhD.

Corresponding author email: [email protected]

Introduction

The research aims to address critical questions related to the workforce in biomanufacturing, with a focus on talent management and skills deficits in the evolving biopharma landscape. The first question explored trends and dynamics characterizing the biomanufacturing workforce, particularly in the context of talent management. The study conducted a quantitative comparison of talent supply to talent demand at both macro and micro levels, focusing on Biopharma 4.0 technology clusters, including Automation, Digitisation, Data Science, Cyber, and Sensors. This analysis revealed a nuanced picture, with mature talent in automation, cybersecurity, and sensors, but a potential skills gap in emerging areas such as agile methods, virtual reality, AI, and digital twins.

Figure 1 illustrates the Biopharma trend dynamics from 2019 to 2024 (Q1). An increase of roles is evident late 2020 into 2021 due to the Covid induced vaccine manufacturing program, with a correction in 2022 as pharmaceutical company supply chain reduced due to vaccine stockpiles. Biopharma 4.0 roles continue to increase as Biopharma companies restructure their manufacturing for efficiencies.

In assessing the Biopharma 4.0 skills deficits, the study provided a comprehensive overview of skills requirements, identifying a particular gap in data science expertise. The skills gap in data science encompassed areas such as data management/integration, statistical modelling, machine learning, data visualisation, and regulatory compliance. This finding aligns with the growing need for professionals who can effectively manage and analyse the vast amounts of data generated in biomanufacturing, underscoring the industry's evolving demands.

References

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About Evolution

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As global leaders in Biopharma Talent Intelligence (TM), Evolution work with University of Dundee conducting novel research into Biopharma Talent Dynamics, Skills Gaps, Training requirement s and cost of recruitment models