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Johnson & Johnson MedTech job postings grew in New Jersey

Job postings for Johnson & Johnson MedTech in New Jersey rose by fifty two percent in the last seven days.

By Mei-Ling Chen, Mogi Research · Oct 16, 2026

About Johnson & Johnson MedTech

Johnson & Johnson MedTech is a public company in the healthcare sector. It is a health provider with a headquarters in New Brunswick, New Jersey. The company has a headcount of 38,038 and is categorized as large, with 10,001+ employees.

Hospitals and Health Care · Health provider · New Brunswick, New Jersey · 38,038 employees · Skills: execution focus, good manufacturing practices (gmp), plant operations, process oriented

Job postings for Johnson & Johnson MedTech in New Jersey increased by fifty two percent, from thirty three to fifty. This change occurred over the last seven days.

This rise in job postings may be due to increased hiring needs. It could also reflect a proactive approach to filling future roles. The company has posted fifty job openings in New Jersey.

The top roles posted by Johnson & Johnson MedTech in New Jersey include Product Owner, Data Engineer, and Product Manager. All fifty of the company's New Jersey job postings were identified in that state.

The numbers

Which employers grew the most in New Jersey in the last 7 days?

NameLast 7 daysThe 7 beforeChange
Johnson & Johnson MedTech5033+52%
Aogarciaagency4221+100%
Proud Moments ABA2616+62%
Prime Healthcare5938+55%
Verizon1510+50%

Top roles: Product Owner (3), Data Engineer (2), Product Manager (1)

Top states: New Jersey (50)

More on Johnson & Johnson MedTech jobs on Mogi.

More on Johnson & Johnson MedTech

Counts are job postings, not hires, from company career sites that Mogi's crawl found. Compares the 7 days to 2026-10-16 with the 7 days before them. Covers US, New Jersey, all roles. Employers with fewer than five postings in the last eight weeks are grouped together and left out of the rankings. The company details come from the crawl's company profiles, where the crawl has one.

Written by Mei-Ling Chen of Mogi Research, with AI from the table above. Every figure in it comes from that table.

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