Paige.AI 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:
Paige believes that everyone has the ability to make an impact, and we are committed to diversity and inclusion. We are proud to be an equal opportunity employer committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin or ancestry. condition, sexual orientation, pregnancy, military or veteran status, citizenship status, and genetic information. If you have a disability or special need that requires accommodation, please contact us*. To learn more, visit: https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf