The global medical industry experienced a 7% drop in new job postings related to cloud in Q1 2023 compared with the previous quarter, according to GlobalData’s Job Analytics. This compares to a 22% decrease versus Q1 2022. Buy the report here.
Notably, Computer and Mathematical Occupations jobs accounted for a 37% share of the global medical industry’s cloud-related total new job postings in Q1 2023, down 13% over the prior quarter.
Computer and Mathematical Occupations drive cloud-related hiring activity
Computer and Mathematical Occupations, with a share of 37%, emerged as the top cloud-related job roles within the medical industry in Q1 2023, with new job postings drop by 13% quarter-on-quarter. Management Occupations came in second with a share of 17% in Q1 2023, with new job postings rising by 27% over the previous quarter.
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The other prominent cloud roles include Architecture and Engineering Occupations with a 6% share in Q1 2023, Business and Financial Operations Occupations with a 4% share of new job postings.
Top five companies in medical industry accounted for 38% of hiring activity
The top companies, in terms of number of new job postings tracked by GlobalData, as of Q1 2023 were Intelerad Medical Systems, ResMed, ResMed, GE HealthCare Technologies, and Carl Zeiss. Together they accounted for a combined share of 38% of all cloud-related new jobs in the medical industry.
Intelerad Medical Systems posted 683 cloud-related new jobs in Q1 2023, ResMed 659 jobs, ResMed 529 jobs, GE HealthCare Technologies 172 jobs, and Carl Zeiss 136 jobs, according to GlobalData’s Job Analytics.
Hiring activity was driven by the US with a 61.56% share of total new job postings, Q1 2023
The largest share of cloud-related new job postings in the medical industry in Q1 2023 was in the US with 61.56% followed by India (9.43%) and Germany (4.57%). The share represented by the US was six percentage points higher than the 55.31% share it accounted for in Q4 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.
