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About Imagene AI

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.

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Medical Data Specialist

Tel Aviv · Full-time

About The Position

We're looking for a Medical Data Specialist to join our team and support the development of AI-driven solutions in digital pathology, oncology, and drug development.

In this role, you'll perform and review histology image annotations, ensuring high-quality medical data for our AI models. You'll also help coordinate annotation projects involving internal team members and external pathologists, ensuring accuracy, consistency, and timely delivery.

We're looking for someone with strong histology knowledge and hands-on experience in digital pathology annotation, who can work independently with minimal additional histology training.


Responsibilities

  • Perform high-quality annotations of digital pathology images, including H&E and immunohistochemistry (IHC) stained tissue slides.
  • Review and validate annotations, identify inconsistencies, and ensure data quality and accuracy.
  • Coordinate annotation projects involving internal team members and external pathologists, including task distribution, progress tracking, and follow-up.
  • Prepare annotation tasks, maintain clear guidelines, and support quality control processes.
  • Work closely with Pathology, Science, and Data Science teams to address annotation questions and project needs.
  • Independently prioritize tasks and respond to time-sensitive annotation requests.


Requirements

  • Proven hands-on experience with histology or digital pathology image annotation.
  • Strong understanding of histology, tissue morphology, and the ability to accurately identify and annotate relevant structures in pathology images.
  • Familiarity with common histological staining methods, including H&E and IHC.
  • Educational or professional background in Medicine, Pathology, Life Sciences, or a related field.
  • Strong organizational skills, attention to detail, and ability to work independently.
  • Ability to coordinate multiple tasks and communicate effectively with medical and technical teams.
  • Strong technical orientation and proficiency in English.

Nice to Have

  • Experience working in a digital pathology, healthcare AI, or oncology-focused company.
  • Familiarity with oncology biomarkers, such as HER2 and PD-L1, or multiplex imaging.
  • Previous experience reviewing annotations or coordinating annotation projects with pathologists.

Apply for this position

To submit a case, follow these steps:

  • Send a request email to lab@imagene-ai.com.
  • Provide your name, work email address, and phone number in the email.
  • We will contact you to register an account for the online lab portal.
  • You will receive secured log-in details and a scheduled onboarding call, where we will guide you through the process of submitting a case.
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