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
← All Jobs

Product Manager

Tel Aviv · Full-time

About The Position

We’re looking for a Product Manager to help turn complex science, customer needs, and AI capabilities into clear product direction.

In this role, you will work closely with R&D, Science, Engineering, Data Science, Business Development, Product Marketing, and Customer-facing teams to define product requirements, prioritize needs, and support the development of AI-driven solutions for biomarker discovery, translational research, and clinical development in oncology.

This is a great opportunity for someone with a strong scientific background, product orientation, and the ability to connect biology, data, technology, and real-world customer needs into meaningful product value.

Responsibilities

  • Translate product strategy and complex scientific, clinical, molecular, imaging, and AI-driven concepts into clear product requirements documents (PRDs), user stories, workflows, UX/UI requirements, acceptance criteria, and priorities.
  • Gather and synthesize input from customers, pharma partners, scientific teams, and internal stakeholders to identify user needs, validate problems, and shape product direction.
  • Own and support roadmap planning and prioritization based on customer needs, scientific value, business goals, technical feasibility, and product impact.
  • Partner closely with Engineering, Data Science, R&D, UX/UI, and scientific teams to define feasible product solutions across data flows, model workflows, integrations, user experiences, and operational processes.
  • Break down high-level product opportunities into development-ready features, user flows, edge cases, dependencies, MVP scope, phased release plans, and clear implementation priorities.
  • Define end-to-end product workflows and screens that translate customer, scientific, and internal needs into usable, scalable, and development-ready product capabilities.
  • Own product documentation, including feature definitions, acceptance criteria, workflows, release scope, and internal enablement materials.
  • Work cross-functionally to define and deliver product capabilities, support product, scientific, and model-validation planning, and prepare launch and marketing materials.
  • Define and track product success criteria using user feedback and product analytics, including user adoption, workflow efficiency, model and output quality, customer value, and post-launch product learnings.


Requirements

  • Advanced degree, MSc or PhD, in Life Sciences, Biomedical Sciences, Computational Biology, Immunology, Oncology, or a related field.
  • 5+ years of experience in product management, product planning, scientific product strategy, data-driven product work, or a similar role in biotech, pharma, healthtech, AI, or computational biology.
  • Strong understanding of biological, clinical, molecular, or imaging data, with the ability to translate scientific concepts into product needs.
  • Experience working with multidisciplinary teams, including R&D, data science, biology, clinical, engineering, and commercial stakeholders.
  • Strong understanding of software product development processes, including PRDs, user stories, acceptance criteria, backlog management, sprint planning, and release cycles.
  • Technical fluency with software and AI product development, including data flows, integrations, APIs, model workflows, computational constraints, MVP scope, dependencies, and implementation trade-offs.
  • Experience translating complex scientific, clinical, or AI-driven concepts into practical product requirements, screens, workflows, and development-ready specifications.
  • Ability to create clear low-fidelity wireframes and collaborate with UX/UI teams to translate workflows, screen concepts, and user interactions into usable product experiences.
  • Understanding of AI/model productization workflows, including data inputs, model outputs, validation, performance evaluation, human review processes, deployment considerations, and feedback loops.
  • Experience working with AI tools to support product discovery, analysis, documentation, workflow design, and day-to-day product work.
  • Strong analytical skills and ability to synthesize inputs from customers, business, science, and technology into clear product priorities.
  • Excellent communication, presentation, and stakeholder-management skills.
  • Comfortable working in a fast-moving startup environment with ambiguity, changing priorities, and high ownership.
  • Strong organizational skills and experience writing clear product requirements, workflows, or technical/scientific documentation.


Advantages:

  • Experience with AI, machine learning, computational biology, digital pathology, multi-omics, or multimodal data platforms.
  • Experience in oncology, biomarker discovery, translational research, clinical development, or pharma-facing products.


Apply for this position

Get Your Free Access

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