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.

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Student Software Engineer

Tel Aviv · Hourly

About The Position

We are looking for a curious and ambitious Student Software Engineer to join our CTO’s projects team. In this role, you’ll get hands-on experience building experimental tools, automation pipelines, and exploratory prototypes that push boundaries and drive innovation. You’ll work with cutting-edge technologies, from AI-assisted and spec-driven development to modern web stacks, containerized workflows, and advanced AI models and tools - gaining hands-on experience in turning bold ideas into practical, working solutions.

This is a unique opportunity to learn directly under the CTO, gain exposure to real-world engineering challenges, and contribute to projects that span research, automation, and platform innovation. The environment is fast-paced and collaborative, giving you the chance to experiment, learn quickly, and make an impact from day one.

Responsibilities

  • Collaborate directly with the CTO on exploratory and automation-focused projects.
  • Build, test, and refine experimental tools, prototypes, and pipelines.
  • Work with a wide range of technologies, including AI-assisted coding, modern web stacks, containerized workflows, and AI/ML tools.
  • Help design and automate workflows that improve developer and research productivity.
  • Contribute to fast-paced, iterative development cycles with a focus on learning and adaptability.
  • Document learnings, share insights, and propose improvements to technical processes.

What You’ll Gain

  • Direct mentorship from the CTO, with visibility into strategic and technical decision-making.
  • Hands-on experience with modern engineering practices and cutting-edge tools.
  • End-to-end exposure to the process of taking an idea from concept to prototype.
  • Collaboration skills, working closely with engineers, researchers, and product teams.
  • Adaptability and problem-solving experience in a fast-moving startup environment.
  • A chance to make a real impact on many people’s lives.

Requirements

  • Currently pursuing/has a degree in Computer Science, Engineering, or a related field.
  • Solid programming foundations (e.g., Python, JavaScript/TypeScript).
  • Experience with Git.
  • Comfortable working with Linux environments and command-line tools.
  • Familiarity with web technologies (front-end or back-end) and/or containerized workflows (e.g., Docker).
  • Familiarity with AI-assisted development and willingness to explore new tools.
  • Strong problem-solving mindset with a “learn by doing” attitude.
  • Ability to work independently, manage time, and adapt quickly in a fast-paced environment.
  • Excellent communication skills and eagerness to collaborate across teams.

Nice to have

  • Exposure to cloud platforms (AWS, GCP, or Azure).
  • Interest or experience with AI/ML frameworks and tools.
  • Contributions to open-source projects or personal coding projects.
  • Familiarity with CI/CD pipelines or automated testing.

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.
Send Request