Cybersecurity hiring activity increased in the pharmaceutical industry in Q2 2023
Notably, Management Occupations jobs accounted for a 24% share of the global pharmaceutical industry’s cybersecurity-related total new job postings in Q2 2023, down 17% over the prior quarter.
Management Occupations drive cybersecurity-related hiring activity
Management Occupations, with a share of 24%, emerged as the top cybersecurity-related job roles within the pharmaceutical industry in Q2 2023, with new job postings drop by 17% quarter-on-quarter. Computer and Mathematical Occupations came in second with a share of 21% in Q2 2023, with new job postings dropping by 0.39% over the previous quarter.
The other prominent cybersecurity roles include Business and Financial Operations Occupations with a 4% share in Q2 2023, Healthcare Practitioners and Technical Occupations with a 4% share of new job postings.
Top five companies in pharmaceutical industry accounted for 35% of hiring activity
The top companies, in terms of number of new job postings tracked by GlobalData, as of Q2 2023 were Novartis, AbbVie, AstraZeneca, Sandoz, and Bristol-Myers Squibb. Together they accounted for a combined share of 35% of all cybersecurity-related new jobs in the pharmaceutical industry.
Novartis posted 275 cybersecurity-related new jobs in Q2 2023, AbbVie 236 jobs, AstraZeneca 126 jobs, Sandoz 121 jobs, and Bristol-Myers Squibb 112 jobs, according to GlobalData’s Job Analytics.
Hiring activity was driven by the US with a 39.20% share of total new job postings, Q2 2023
The largest share of cybersecurity-related new job postings in the pharmaceutical industry in Q2 2023 was in the US with 39.20% followed by India (14.13%) and the Czech Republic (6.05%). The share represented by the US was 16 percentage points lower than the 54.77% share it accounted for in Q1 2023.
For further understanding of GlobalData’s Cybersecurity in Healthcare – Thematic Research, buy the report here.
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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