We transform cancer diagnostics with AI.
We’re using big data and deep learning to transform the way biopsies are being
interpreted, to help millions of people receive a rapid and accurate cancer diagnosis,
and to support personalized patient care through AI-based prognostic and predictive
We build a system that diagnoses cancer from microscopic tissue images.
In order to achieve that we develop Computer Vision algorithms (mainly Deep
Learning), all the way from research to python production code running on GPUs
servers in AWS.
On the way to reaching both fast run time and medical-grade accuracy, we tackle
challenges such as processing huge images (terabyte pixels per image), combining
information from several magnifications, variance between labs and scanners, working
with different types of stains and tissues, obtaining annotations via Active Learning, and
We’re looking for experienced top-notch Data Scientist and Machine Learning expert to
help us build and improve our core algorithms and to develop novel cancer diagnostic
tests. In this role, you’ll work on huge, unique datasets of high-resolution pathology
images and clinical records from leading institutes worldwide, develop and optimize AI-
based solutions for complex problems using cutting-edge technology, integrate your
algorithms into our products and receive feedback from clinicians using them in live
clinical settings, and work closely with our multi-disciplinary team of Machine Learning
experts, experienced software developers and medical professionals.
- PhD or MSc in Computer Science or relevant discipline
- Deep knowledge of algorithms, statistics and Machine Learning
- At least 5 years of industry experience, working on large-scale projects
- Ability to design and develop production-level code
- Experience with at least one of Python, Java, C++
- Experience with Deep Learning and/or Computer Vision – an advantage
To apply for this job please visit ibex-ai.com.