Jobs at Geisinger

1,439 open positions

Geisinger, headquartered in Danville, PA, is a leading integrated health system that harnesses data science, AI, and digital health solutions to transform patient care. Its flagship MyGeisinger portal and predictive analytics platform set industry standards for interoperable health IT.

Geisinger hires software engineers, data scientists, cybersecurity analysts, and health informatics specialists to build secure, scalable platforms that power real‑time clinical decision support. Applicants can expect rigorous coding challenges, collaboration with clinicians, and a culture that rewards innovation and continuous learning.

By reviewing Geisinger’s Job Transparency profile, you gain access to up‑to‑date salary ranges, employee sentiment scores, and hiring trends, enabling you to negotiate confidently and assess if the organization’s compensation aligns with your expectations before applying.

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Frequently Asked Questions

What is it like to work at Geisinger?
Working at Geisinger blends patient‑centered care with cutting‑edge technology. Employees enjoy a flat hierarchy, frequent hackathons, and a commitment to professional development. Health‑IT teams collaborate closely with clinicians, turning data into actionable insights while maintaining a supportive work‑life balance and competitive benefits.
What types of positions are available at Geisinger?
Geisinger offers roles across software engineering, data science, cybersecurity, health informatics, product management, and IT operations. Positions range from entry‑level developer to senior data architect, all focused on building secure, interoperable solutions that improve care quality and efficiency.
How can I stand out as an applicant?
To stand out, tailor your resume to health‑IT keywords, showcase measurable projects (e.g., API integrations, predictive models), and provide a portfolio or GitHub links. Highlight collaboration with clinical stakeholders, demonstrate knowledge of HL7/FHIR standards, and emphasize any experience in compliance or data governance.

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