Join the best and brightest in machine learning and pathology

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Why you should join us at PAIGE


Work alongside a talented team of individuals passionate about translating their daily work into meaningful change in patient's lives.

AI-ready infrastructure

We are the first to have AIRI, the most advanced architecture ever built for scale-out AI. Specifically designed for deep learning by NVIDIA and Pure, AIRI has a GPU performance of more than 10 petaFLOPS, allowing us to efficiently train models on the world’s largest tumor pathology archives.

Innovative space

Our Roosevelt Island office is halfway between Manhattan and Queens, putting us in the heart of NY. We are part of the Cornell Tech campus, immersing us in one of the nation’s most innovative academic and startup communities.

Deep integration with pathology

We have an exclusive data licensing agreement with Memorial Sloan Kettering Cancer Center (MSKCC). Our anonymized dataset consists of digital slides accompanied by pathologic and clinical annotation, as well as genomic sequencing results.

Open Positions

Consultant Pathologist Annotators

Annotate tumors on digitized slides using our viewer software. Your expert interpretations will help change how pathology is practiced.

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Agile Coach

Provide agile coaching for various teams while coordinating multiple workstreams and owning and driving Agile/Scrum projects.

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Senior Front End Engineer

In this role you will refine and implement new features for our slide viewer application.

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Senior Software Engineer, Backend Services

Collaborate with our world-leading experts in machine learning and pathology to develop and integrate a new series of disease-specific machine learning algorithms into the slide viewer.

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Senior Software Engineer, Data Ingestion and Hospital Integration

Develop seamless mechanisms to ingest large volumes of data from hospital ecosystems into our backend infrastructure.

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Senior Software Engineer, Cloud and Distributed computing

Distribute and execute a variety of computationally expensive algorithms in the cloud at a large scale while optimizing for speed.

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AI Scientist

Research, design and build solutions for pathologists, clinicians and researchers to accelerate and improve the accuracy of cancer detection, classification and diagnosis.

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AI Engineer

Embedded with AI engineers to develop QA frameworks and work with a complex clinical data pipeline.

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Our Space

Join Us

We are building a unique team of scientists, engineers, business leaders, and healthcare experts to create the dominating AI in pathology.

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