The global pharmaceutical industry experienced an 11% rise in new job postings related to robotics in Q3 2022 compared with the previous quarter, according to GlobalData’s whitepaper on Robotics in Pharmaceutical – Hiring Activity in Q3 2022. This compares to a 2% increase versus Q3 2021.
Notably, Registered Nurses jobs accounted for a 17% share of the global pharmaceutical industry’s robotics-related total new job postings in Q3 2022, up 50% over the prior quarter.
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Registered Nurses, with a share of 17%, emerged as the top robotics-related job roles within the pharmaceutical industry in Q3 2022, with new job postings rising by 50% quarter-on-quarter. Health Practitioner Support Technologists and Technicians came in second with a share of 11% in Q3 2022, with new job postings rise by 1% over the previous quarter.
The other prominent robotics roles include Biological Scientists with a 4% share in Q3 2022, Software and Web Developers, Programmers, and Testers with a 3% share of new job postings.
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The top companies, in terms of number of new job postings tracked by GlobalData, as of Q3 2022 were Johnson & Johnson, GSK, Staff Care and Novo Nordisk. Together they accounted for a combined share of 35% of all robotics-related active jobs in the pharmaceutical industry.
Johnson & Johnson posted 287 jobs in Q3 2022 and registered a rise of 5% over the previous quarter, followed by GSK with 99 jobs and a 371% growth. Staff Care with 96 jobs and Novo Nordisk with 78 jobs, recorded a 1820% growth and a 8% decrease, respectively, while Takeda Pharmaceutical recorded a 17% decline with 63 job postings during Q3 2022.
The largest share of robotics-related new job postings in the pharmaceutical industry in Q3 2022 was in the US with 77% followed by Australia (3%) and the UK (3%). The share represented by the US was 0.84 percentage points higher than the 76% share it accounted for in Q2 2022.
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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
GlobalData’s Jobs Analytics uses machine learning to uncover key insights from tracking daily job postings for thousands of companies globally. Proprietary analysis is used to group jobs into key thematic areas and granular sectors across the world’s largest industries. classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
