PathAI

Our mission is to improve patient outcomes with AI-powered technology. PathAI’s platform promises substantial improvements in the accuracy of diagnosis and the efficacy of treatment of diseases.

Founded 2016
51-200 employees
  • Biotechnology & Chemical Products
  • Health Care Technology & Nursing
  • Headquarters address
    1325 Boylston St Boston, MA02215

    What We Do

    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.

    Who We Are

    PathAI was founded by Andy Beck and Aditya Khosla.

    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!

    How We Interview & Hire

    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!

    Tech stack

    Python, Java, AWS, Vue.js, PostgreSQL

    Benefits

    Compensation and retirement

    RSUs (Restricted Stock Units or Awards)
    401k plan

    Health and wellness

    Health insurance
    Dental insurance
    Vision insurance
    Life insurance
    Disability insurance

    Vacation and time off

    Paid time off
    Paid holidays
    Flexible working hours
    Work from home flexibility
    Maternity benefits
    Paternity benefits

    Personal development

    Internship program
    Hackathons

    Values and quality of life

    Diversity program
    Accessible via public transportation
    Bike parking
    Employee groups and committees
    Snacks and beverages
    Catered lunches
    Company activities
    Games and recreation
    Showers