PAIGE is leading the field of computational pathology by combining the world's largest data set (over 25 million cancer pathology slides) and the most advanced team in AI and machine learning. Paige.ai’s mission is to work alongside pathologists to build an AI that will improve the efficacy, objectivity, and scalability of their work.
We aim to build solutions for pathologists, clinicians and researchers to accelerate and improve the accuracy of cancer detection, classification, and staging. We work with hospitals to help gain insight from some of the largest digital tissue banks in the world to more efficiently and accurately read tissue samples. Data security and appropriate handling of data is a top priority for our team and our interdisciplinary team of computer scientists and clinical researchers work closely together with hospitals, such as Memorial Sloan Kettering Cancer Center, to identify and solve the tasks that make a real difference.
Candidates should expect to be embedded with AI researchers to develop QA frameworks and work with a complex clinical data pipeline, involving a range of technologies capabilities, static analysis/formal methods, and development to integrate with Paige.AI’s HPC infrastructure.
Bonus points if you have:
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