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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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About Imagene

is to assist cancer patients in receiving the optimal treatment medicine can offer. we leverage AI to detect, in real-time, a broad range of cancerous biomarkers and genomic insights from the biopsy image alone. By doing so, we overcome economical, logistical, and technological barriers to reach the full potential of precision medicine for cancer patients.

Through global collaborations with top-tier medical centers and pharmaceutical companies, Imagene AI is revolutionizing molecular screening for both clinical practice and research.

Our success derives from our cutting-edge technology and talented multidisciplinary team of biologists, doctors, data scientists, software engineers, business experts and more.