Notably, Computer and Mathematical Occupations jobs accounted for a 25% share of the global medical industry’s cybersecurity-related total new job postings in Q3 2023, down 26% over the prior quarter.

Computer and Mathematical Occupations drive cybersecurity-related hiring activity

Computer and Mathematical Occupations, with a share of 25%, emerged as the top cybersecurity-related job roles within the medical industry in Q3 2023, with new job postings drop by 26% quarter-on-quarter. Management Occupations came in second with a share of 14% in Q3 2023, with new job postings dropping by 31% over the previous quarter.

The other prominent cybersecurity roles include Architecture and Engineering Occupations with a 9% share in Q3 2023, Business and Financial Operations Occupations with a 8% share of new job postings.

Top five companies in medical industry accounted for 28% of hiring activity

The top companies, in terms of number of new job postings tracked by GlobalData, as of Q3 2023 were Natera, Hinge Health, Thermo Fisher Scientific, Dentsply Sirona, and Intelerad Medical Systems. Together they accounted for a combined share of 28% of all cybersecurity-related new jobs in the medical industry.

Natera posted 170 cybersecurity-related new jobs in Q3 2023, Hinge Health 101 jobs, Thermo Fisher Scientific 93 jobs, Dentsply Sirona 92 jobs, and Intelerad Medical Systems 86 jobs, according to GlobalData’s Job Analytics.

Hiring activity was driven by the US with a 61.84% share of total new job postings, Q3 2023

The largest share of cybersecurity-related new job postings in the medical industry in Q3 2023 was in the US with 61.84% followed by Germany (8.80%) and India (8.12%). The share represented by the US was four percentage points higher than the 58.13% 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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