The global pharmaceutical industry experienced a 7% rise in new job postings related to artificial intelligence in Q3 2022 compared with the previous quarter, according to GlobalData’s whitepaper on Artificial Intelligence in Pharmaceutical – Hiring Activity in Q3 2022. This compares to a 63% increase versus Q3 2021.
Notably, General and Operations Managers jobs accounted for an 11% share of the global pharmaceutical industry’s artificial intelligence-related total new job postings in Q3 2022, up 12% over the prior quarter.
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General and Operations Managers, with a share of 11%, emerged as the top artificial intelligence-related job roles within the pharmaceutical industry in Q3 2022, with new job postings rising by 12% quarter-on-quarter. Software and Web Developers, Programmers, and Testers came in second with a share of 8% in Q3 2022, with new job postings drop by 2% over the previous quarter.
The other prominent artificial intelligence roles include Data Scientists with an 8% share in Q3 2022, Biological Scientists with a 6% share of new job postings.
The top companies, in terms of number of new job postings tracked by GlobalData, as of Q3 2022 were Johnson & Johnson, Evolent Health, GSK and Intermountain Healthcare. Together they accounted for a combined share of 14% of all artificial intelligence-related active jobs in the pharmaceutical industry.
Johnson & Johnson posted 705 jobs in Q3 2022 and registered a drop of 7% over the previous quarter, followed by Evolent Health with 610 jobs and a 34% growth. GSK with 328 jobs and Intermountain Healthcare with 305 jobs, recorded a 18% growth and a 78% increase, respectively, while CVS Health recorded a 6% decline with 297 job postings during Q3 2022.
The largest share of artificial intelligence-related new job postings in the pharmaceutical industry in Q3 2022 was in the US with 73% followed by the UK (5%) and India (3%). The share represented by the US was three percentage points higher than the 70% 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.
