Jobs at Flatiron Health

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Flatiron Health is a healthtech company that builds software and real-world data tools to advance cancer care. They are best known for the Oncology Cloud platform, which aggregates de-identified patient data to enable researchers, clinicians, and life sciences partners to accelerate insights and trials. After Roche acquired Flatiron Health in 2018, the company expanded its reach in real-world evidence and collaborative cancer research.

Flatiron Health hires across multiple disciplines, including software engineering, data science, product management, data operations, clinical data coordination, design, and customer success. Candidates can expect cross-functional teams that blend software development with oncology domain knowledge, a fast-paced environment focused on impact, and processes that emphasize data privacy, security, and regulatory compliance.

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No open positions at Flatiron Health right now.

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Frequently Asked Questions

What is it like to work at Flatiron Health?
Flatiron Health combines a mission-driven culture with a focus on real-world oncology data. Employees often collaborate across engineering, data science, and clinical operations to translate complex datasets into actionable cancer-care insights. The environment prioritizes patient impact, data privacy, and cross-functional teamwork, with opportunities to contribute to research that informs hospitals, researchers, and pharmaceutical partnerships.
What types of positions are available at Flatiron Health?
Open roles span software engineering, data science, data engineering, product management, UX/UI design, clinical data coordination, quality assurance, site reliability engineering, and customer success. Additional roles exist in sales, solutions architecture, and operations to support healthcare partners and enable smooth adoption of oncology data platforms.
How can I stand out as an applicant for Flatiron Health?
Highlight experience with healthcare data, real-world evidence, or oncology datasets. Demonstrate contributions to data pipelines, data quality improvements, or analytics that influenced clinical decisions. Emphasize cross-disciplinary collaboration, privacy and regulatory awareness (HIPAA basics, data governance), and tangible outcomes such as faster trials or better patient insights. Include a portfolio or case studies showing end-to-end impact from data ingestion to decision support.

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