Danaher is a leading global life sciences and diagnostics innovator, committed to accelerating the power of science and technology to improve human health. We partner with customers around the world to accelerate breakthroughs from idea to impact, moving with the speed and certainty they need to advance life‑changing science. By working side‑by‑side with researchers, scientists, and clinicians, we solve their hardest problems—together, bringing the right expertise…
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Full company description
Danaher is a leading global life sciences and diagnostics innovator, committed to accelerating the power of science and technology to improve human health. We partner with customers around the world to accelerate breakthroughs from idea to impact, moving with the speed and certainty they need to advance life‑changing science.
By working side‑by‑side with researchers, scientists, and clinicians, we solve their hardest problems—together, bringing the right expertise, technologies, and partners from across our portfolio to architect the most effective solutions.
Through our connected ecosystem of companies operating at global scale, we help customers streamline and integrate their workflows across Life Sciences, Diagnostics, Biotechnology, and beyond—empowering them to achieve results faster, with greater confidence.
LinkedIn followers
429,222
People associated on LinkedIn
53,411
Reported office locations
2200 Pennsylvania Ave NW, 800 W, Washington, District of Columbia 20037, US
Business categories
Health Diagnostics
Health Care
Communications Infrastructure
Biotechnology
Life Science
Medical
Other recorded names
Danaher
Danaher Corporation
Profile identifies a recruitment agency
No
Reported total investment
8,000,000,000
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Industry
Medical Equipment Manufacturing
Size
10,001+ employees
Headquarters
Washington, District of Columbia
Organization type
Public Company
Year founded
1984
Danaher Corporation has 2 open jobs in Canada as of November 7, 2026.
5+ YOECandidates need a technical degree, 5+ years of software or machine learning experience, and hands-on work building large language model applications in Python. Experience with legal, compliance or regulatory work is also required.
5+ YOECandidates need a technical degree and 5+ years of shipping production software or ML systems. Hands-on LLM, RAG and agent work in Python, plus interest in legal or regulatory work, is essential.