Careers

About Imagene

Imagene is a pioneering company in AI-based precision oncology, dedicated to decoding cancer using biopsy images. Our mission is to unlock the power of Oncology Intelligence to transform cancer research and diagnostics.

Imagene’s OI Suite platform leverages our state-of-the-art vision foundation model to provide fast, user-friendly, and data-efficient AI to advance drugs into the clinic. LungOI, our first application, is an AI-based NSCLC multi-gene test that offers rapid biomarker profiling, facilitating informed clinical decisions.

Imagene has been awarded the Digital Health Award for “Best Use of AI in HealthTech” and the Technology Leadership Best Practices Award by Frost & Sullivan and is committed to advancing precision oncology and enhancing care for cancer patients worldwide.

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Senior NLP Data Scientist

Tel Aviv · Full-time · Senior

About The Position

About the Position

We’re looking for an NLP Data Scientist to join our cross-functional AI team dedicated to developing language-powered oncology solutions. You will own end-to-end NLP projects: translating ideas into clear objectives, building and evaluating models, and driving them into production while continuously refining requirements and proposing novel approaches.


Responsibilities

  •  Define, refine, and scope NLP tasks in collaboration with product, clinical and engineering stakeholders.
  •  Design, implement and maintain scalable data and model pipelines (data collection, preprocessing, training, evaluation, deployment and monitoring).
  •  Stay current with state-of-the-art research; introduce new ideas and methodologies that unlock business value.
  • Document processes, share insights and mentor teammates on NLP best practices.

Requirements

  • 5+ years working on NLP in production
  • Proven track record of owning end-to-end projects — from requirement to live system.
  • Deep understanding of modern NLP: transformer architectures, prompt-engineering, RAG, Agentic architecture, evaluation metrics, error analysis, bias & fairness.
  • Comfortable optimizing for both business impact and scientific rigor — you know when “good enough today” beats “perfect next quarter”.
  • Excellent communication skills and a collaborative mindset.
  • Domain knowledge in life-sciences / healthcare data - advantage.


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