Careers

About Imagene

Imagene AI is democratizing precision medicine with multi-modal foundation models and an end-to-end OI Suite. At the core of our technology is a Living Intelligence Engine that continuously integrates and learns from imaging, molecular, and clinical data, making every clinical trial more responsive, every insight more actionable, and every patient journey more personalized.

Our OI Suite is a transformative platform that empowers researchers, clinicians, and pharmaceutical partners across the full spectrum of oncology innovation, from biomarker discovery to patient identification. Our first product, LungOI, is an AI-powered multi-gene test for NSCLC that rapidly profiles biomarkers directly from a standard biopsy image, enabling faster and more informed clinical decisions.

Powered by our state-of-the-art multimodal foundation models- trained on over 1.5 million tissue samples from more than 40 organs and tissue types, along with diverse biological modalities-Imagene AI enables cutting-edge research, especially in data-limited settings.
We are committed to advancing precision medicine and expanding its impact across cancer and beyond. If you are passionate about transforming patient care through AI and innovation, we invite you to join us on this meaningful journey.

Array

Senior Bioinformatics Scientist

Tel Aviv · Full-time · Senior

About The Position

We’re looking for a Bioinformatician to join a cross-functional data team dedicated to powering AI-driven oncology solutions. You will design and implement scalable pipelines to integrate and analyse high-dimensional public datasets and work closely with data scientists to power predictive models of drug response.

Responsibilities

  • Curate and optimize diverse large-scale datasets, including genomic, transcriptomic, and proteomic data.
  • Design, implement, and maintain end-to-end, scalable pipelines for data extraction, normalization, validation, and quality control.
  • Integrate multi-modal data (including omics, networks, and textual) into reproducible data processing and analysis frameworks to feed downstream AI models.
  • Lead cross-functional collaboration with clinicians, data scientists, and software engineers to define data requirements, ensure completeness, and guide interpretation.
  • Oversee the preparation and documentation of structured datasets tailored for advanced analytical and AI-driven applications.


Requirements

  • PhD in Bioinformatics, Computational Biology, or related field.
  • 8+ years of experience in working with clinical omics data (including genomics, transcriptomics, and proteomics).
  • Solid understanding of biological data standards and ontologies.
  • Expert proficiency in Python/R and bioinformatics tools.
  • Exceptional analytical, organizational, and problem-solving skills.
  • Experience with processing large-scale omics data in cloud or HPC environments - advantage.
  • Hands-on familiarity with AI/ML frameworks - advantage.


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