The global pharmaceutical industry experienced an 8% drop in new job postings related to cloud in Q3 2022 compared with the previous quarter, according to GlobalData’s whitepaper on Cloud in Pharmaceutical – Hiring Activity in Q3 2022. This compares to a 21% increase versus Q3 2021.
Notably, Software and Web Developers, Programmers, and Testers jobs accounted for a 19% share of the global pharmaceutical industry’s cloud -related total new job postings in Q3 2022, down 17% over the prior quarter.
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Software and Web Developers, Programmers, and Testers, with a share of 19%, emerged as the top cloud -related job roles within the pharmaceutical industry in Q3 2022, with new job postings drop by 17% quarter-on-quarter. Database and Network Administrators and Architects came in second with a share of 8% in Q3 2022, with new job postings drop by 31% over the previous quarter.
The other prominent cloud roles include General and Operations Managers with a 6% share in Q3 2022, Computer and Information Systems Managers with a 4% 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 Evolent Health, Johnson & Johnson, CVS Health and Hastings Center. Together they accounted for a combined share of 16% of all cloud -related active jobs in the pharmaceutical industry.
Evolent Health posted 438 jobs in Q3 2022 and registered a drop of 44% over the previous quarter, followed by Johnson & Johnson with 409 jobs and a 20% growth. CVS Health with 388 jobs and Hastings Center with 311 jobs, recorded a 6% decline and a 26% increase, respectively, while AstraZeneca recorded a 29% decline with 219 job postings during Q3 2022.
The largest share of cloud -related new job postings in the pharmaceutical industry in Q3 2022 was in the US with 72% followed by India (6%) and the UK (3%). The share represented by the US was 0.93 percentage points higher than the 71% 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.
