Careers

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.

Array

Data Scientist

Tel Aviv · Full-time · Senior

About The Position

We’re looking for a Data Scientist to join our growing team and help develop AI solutions at the intersection of oncology, precision medicine, and drug development.

In this role, you will work closely with data scientists, engineers, scientists, and product to turn complex biomedical data into meaningful AI-driven workflows. You will contribute to research, experimentation, and model development across digital pathology, clinical data, and LLM-based applications.

This is a great opportunity for someone who wants to grow in a highly interdisciplinary environment, learn from an experienced team, and take part in building technology that can support the future of precision oncology.

Responsibilities

  • Develop and evaluate ML, deep learning, and LLM-based workflows for digital pathology and oncology data.
  • Build data and model pipelines for biopsy images, clinical records, reports, and other biomedical datasets.
  • Use LLM tools and coding assistants to accelerate research, analysis, prototyping, and workflow automation.
  • Design and run experiments, analyze model performance, and translate results into clear conclusions.
  • Collaborate with data scientists, engineers, pathologists, and clinical experts to turn research questions into working AI solutions.

Requirements

  • BSc or MSc in Software Engineering, Computer Science, or a related field
  • 5+ years of experience in deep learning and machine learning algorithm development.
  • 3+ years of experience developing instance segmentation models.
  • 2+ years of experience working with LLMs and prompt engineering.
  • Experience using AI coding tools such as Cursor, Claude Code, or similar tools.
  • Strong analytical skills, attention to detail, and ability to learn quickly.

Position terms:

  • Location: Tel Aviv (close to train and light rail)
  • Work model: 4 days per week in the Tel Aviv office + 1 fixed work-from-home day (Tuesdays)
  • Employment type: Full-time, global contract
  • Compensation: 28,000 - 32,000 NIS per month + attractive compensation package

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