Imagene AI delivers precision Oncology Intelligence through robust multimodal foundation models and proprietary real-world data, accelerating biomarker discovery, patient stratification, response prediction, and companion diagnostic development. From H&E-based molecular profiling to AI-IHC companion diagnostics, Imagene AI develops AI-powered pathology assays that translate biological insight into patient selection and diagnostic strategies.LungOI®, the first AI-based NSCLC multi-gene biomarker panel to receive a PLA code and CMS payment rate, was developed, validated, and deployed across multiple centers and laboratories globally.
We collaborate with leading biopharma organizations to advance biomarker-driven programs from discovery through clinical development and deployment.
We are committed to advancing precision medicine and expanding its impact across cancer and beyond. If you are passionate about applying AI to meaningful challenges in oncology and helping shape the future of Precision Oncology and cancer care, we invite you to join us.
We’re looking for a detail-oriented Annotator to support AI models that are reshaping how cancer patients receive treatment. This role focuses on reviewing and validating manually annotated data used to train large language models (LLMs). Your work will directly impact the accuracy and reliability of our machine learning systems.
This is a foundational role focused on high-precision annotation and quality control. Over time, there may be opportunities to take on broader responsibilities, including evaluating model outputs, but the core of the role remains hands-on quality assurance work.
Position terms (review before applying):
