PathAI’s mission is to advance medicine with intelligent pathology. We aim to use artificial intelligence to reduce medical error and improve the value of pathological diagnoses, leading to improved outcomes for patients. PathAI’s software engineers are creating the next generation of intelligent tools to enable faster and more accurate diagnostics for cancer and other diseases.
This is an opportunity to join a team of physicians, software engineers, and deep learning scientists focused on building AI tools for improved diagnostics. We are an early stage company working on a variety of projects ranging from front-end web tools to machine learning algorithms to large-scale data management solutions. Our products serve partners in the pharmaceutical industry, clinical medicine, and global health. Our team includes world leaders in machine learning, computational pathology, and diagnostic pathology.
Andy earned his MD from Brown Medical School and completed residency and fellowship training in Anatomic Pathology and Molecular Genetic Pathology from Stanford University. He completed a PhD in Biomedical Informatics from Stanford University, where he developed one of the first machine-learning based systems for cancer pathology. He is board certified by the American Board of Pathology in Anatomic Pathology and Molecular Genetic Pathology. He joined the faculty of Harvard Medical School in 2011, and recently left his position of Associate Professor to join PathAI full time. He has published over 100 papers in the fields of cancer biology, cancer pathology, and biomedical informatics.
Aditya completed his PhD in machine learning and computer vision at MIT. He completed his MS at Stanford in 2011 and BS at Caltech in 2009. In his research he developed new methods for an array of applications in computer vision, including eye-tracking, prediction of image memorability, and visualization of deep networks. He is the recipient of a Facebook Fellowship and his work has been widely covered by various media outlets including BBC, The New York Times and The Washington Post. He has published over 30 papers in the fields of deep learning, computer vision and neuroscience.
In the last 5 years, PathAI has scaled to over 165 employees from all over the country. We have a great individuals joining us from such organizations as Google, McKinsey, Foundation Medicine, Amazon, Verily Life Sciences, and more!
Our interview process begins with an introduction call to help you learn more about the role, learn more about your interests, and help decide if PathAI is a mutual fit. If we move forward, we'll schedule one or two more phone/video calls for technical screening. Finally, we have the on-site interview which includes a quick presentation and several interviews with key stake holders. Right now, we remain a virtual interview program during COVID but we look forward to welcoming all our employees to our new office in the near future!