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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.

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Head of R&D

Tel Aviv · Full-time · Management

About The Position

We are seeking a hands-on Head of R&D to lead our Software Engineering, Product, and Data Science teams. This role will be responsible for accelerating product delivery, strengthening technical execution, and ensuring alignment between our AI roadmap and customer-facing products.

This is a player-coach role, combining technical leadership, software architecture, team management, and execution ownership.

Responsibilities

  • Lead and manage multidisciplinary R&D teams across Software, Product, and Data Science.
  • Own the execution of the company’s technology and product roadmap.
  • Define and drive software architecture, scalability, reliability, and engineering best practices.
  • Work closely with Product and AI teams to translate innovation into commercial products.
  • Improve development workflows, team productivity, and delivery velocity.
  • Remove technical and organizational bottlenecks.
  • Mentor team leads and foster a culture of ownership, accountability, and excellence.
  • Participate directly in architecture reviews and key technical decisions.

Requirements

  • B.Sc. in Computer Science, Software Engineering, or a related field.
  • 8+ years of hands-on software development experience, with deep expertise in software architecture, system design, and technical execution.
  • 3+ years of experience leading multidisciplinary R&D teams across Software Engineering, Product, and Data Science.
  • Proven experience building and scaling cloud-based SaaS products using Python, JavaScript/TypeScript, Node.js, React, Docker, Kubernetes, and major cloud platforms.
  • Advanced hands-on experience with AI coding tools (Cursor, Claude Code, or Codex) and AI-native engineering workflows, including development, debugging, code review, and automation.
  • Strong knowledge of distributed systems, relational and NoSQL databases, CI/CD, and GitOps, including GitLab CI and Argo CD.
  • Ability to lead from the front through direct involvement in architecture, coding, prototyping, code reviews, troubleshooting, and critical engineering initiatives.
  • Strong communication and execution skills, with fluent English.

Preferred Qualifications

  • Experience with production AI/ML systems, model serving, inference pipelines, MLOps, data platforms, or high-scale, data-intensive environments.
  • Background in healthcare, biotechnology, or life sciences.
  • Experience scaling R&D organizations in fast-growing startups.

What Success Looks Like

  • Faster and more predictable product delivery.
  • Strong collaboration between Software, Product, and Data Science teams.
  • Scalable engineering processes and architecture.
  • Successful translation of AI capabilities into customer-facing products.
  • A high-performing R&D organization aligned with business objectives.

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