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.
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.
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.
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.
Consultant Pathologist Annotators
Annotate tumors on digitized slides using our viewer software. Your expert interpretations will help change how pathology is practiced.Apply arrow_forward
Provide agile coaching for various teams while coordinating multiple workstreams and owning and driving Agile/Scrum projects.Apply arrow_forward
Senior Front End Engineer
In this role you will refine and implement new features for our slide viewer application.Apply arrow_forward
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.Apply arrow_forward
Senior Software Engineer, Data Ingestion and Hospital Integration
Develop seamless mechanisms to ingest large volumes of data from hospital ecosystems into our backend infrastructure.Apply arrow_forward
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.Apply arrow_forward
Research, design and build solutions for pathologists, clinicians and researchers to accelerate and improve the accuracy of cancer detection, classification and diagnosis.Apply arrow_forward
Embedded with AI engineers to develop QA frameworks and work with a complex clinical data pipeline.Apply arrow_forward