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Cloud hiring activity dropped in the medical industry in Q3 2023

Notably, Computer and Mathematical Occupations jobs accounted for a 38% share of the global medical industry’s cloud-related total new job postings in Q3 2023, down 22% over the prior quarter.

Computer and Mathematical Occupations drive cloud-related hiring activity

Computer and Mathematical Occupations, with a share of 38%, emerged as the top cloud-related job roles within the medical industry in Q3 2023, with new job postings drop by 22% quarter-on-quarter. Architecture and Engineering Occupations came in second with a share of 16% in Q3 2023, with new job postings rising by 106% over the previous quarter.

The other prominent cloud roles include Management Occupations with a 12% share in Q3 2023, Business and Financial Operations Occupations with a 5% share of new job postings.

Top five companies in medical industry accounted for 37% of hiring activity

The top companies, in terms of number of new job postings tracked by GlobalData, as of Q3 2023 were Intelerad Medical Systems, ResMed, GE HealthCare Technologies, Thermo Fisher Scientific, and Koninklijke Philips. Together they accounted for a combined share of 37% of all cloud-related new jobs in the medical industry.

Intelerad Medical Systems posted 490 cloud-related new jobs in Q3 2023, ResMed 405 jobs, GE HealthCare Technologies 186 jobs, Thermo Fisher Scientific 156 jobs, and Koninklijke Philips 116 jobs, according to GlobalData’s Job Analytics.

Hiring activity was driven by the US with a 55.27% share of total new job postings, Q3 2023

The largest share of cloud-related new job postings in the medical industry in Q3 2023 was in the US with 55.27% followed by India (14.77%) and Germany (7.74%). The share represented by the US was 0 percentage points lower than the 55.60% share it accounted for in Q2 2023.

For further understanding of GlobalData’s Medical Devices: Hiring Trends & Signals Q3 2023, buy the report here.

This content was updated on 8 October 2023


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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.

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