Jobs at Mayo Clinic

Positions 1,095,958

Mayo Clinic, a leading U.S. medical center, has built a reputation in technology through its investment in health IT, AI-driven diagnostics, and patient data analytics. Its clinical research teams partner with software developers to create secure EHR systems, telehealth platforms, and precision‑medicine tools that serve millions of patients worldwide.

Tech positions at Mayo Clinic span software engineering, data science, cloud architecture, cybersecurity, UI/UX design, and AI research. Applicants can expect rigorous coding challenges, a strong focus on HIPAA compliance, and collaborative projects that integrate clinical expertise with engineering excellence.

Job Transparency provides live salary ranges, benefit summaries, and employee sentiment scores for Mayo Clinic listings, allowing candidates to benchmark compensation against industry standards and gauge workplace culture before applying.

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Frequently Asked Questions

What is it like to work at Mayo Clinic?
Working at Mayo Clinic means joining a patient‑centered culture that values interdisciplinary collaboration, continuous learning, and innovation. Employees enjoy competitive health benefits, a generous 401(k) plan, flexible scheduling for clinical and research roles, and access to world‑class training programs that keep tech talent ahead of emerging medical technologies.
What types of positions are available?
Mayo Clinic hires for a broad range of tech roles, including Software Engineer (front‑end, back‑end, full‑stack), Data Scientist, Machine Learning Engineer, Cloud Architect, Cybersecurity Analyst, DevOps Engineer, UI/UX Designer, Clinical Informatics Specialist, and AI Researcher. Positions often involve building secure systems for patient data, developing predictive analytics for clinical outcomes, and creating user‑friendly telehealth interfaces.
How can I stand out as an applicant?
To differentiate yourself, demonstrate a deep understanding of HIPAA regulations, showcase projects that blend healthcare with technology, and provide metrics that highlight impact (e.g., reduced patient wait times or improved data accuracy). Include code samples or open‑source contributions related to medical informatics, and prepare for scenario‑based coding challenges that test both technical skill and patient‑care reasoning.

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