Head of Pathology
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Path-iQ is building a global digital pathology and AI-assisted pathology ecosystem connecting pathologists, laboratories, researchers, and healthcare organizations.
Our vision is to enable better access to pathology expertise through digital pathology, collaborative networks, and responsible AI-assisted tools, while keeping the pathologist at the center of clinical decision-making.
PositionHead of Pathology / Senior Pathologist
Role OverviewPath-iQ is seeking an experienced and highly respected Head of Pathology / Senior Pathologist to provide clinical, scientific, and professional leadership across our pathology network.
The role is designed for a senior pathologist who can contribute expertise in diagnostic pathology while helping shape the development of digital pathology, AI-assisted pathology workflows, research, education, and international pathology collaboration.
The successful candidate will work closely with Path-iQ's medical, scientific, product, and technology teams and contribute to the development of a global pathology ecosystem.
Key ResponsibilitiesClinical & Pathology Leadership- Provide senior clinical and scientific guidance across pathology-related initiatives.
- Contribute expertise in histopathology, surgical pathology, cytopathology, oncopathology, or relevant subspecialties.
- Support clinical review and expert discussion of complex pathology cases where appropriate.
- Help establish pathology quality standards, workflows, protocols, and best practices.
- Participate in multidisciplinary discussions and expert pathology consultations.
- Provide professional guidance on the clinical relevance and appropriate use of pathology technologies.
- Support the development and evaluation of digital pathology workflows.
- Provide expert feedback on whole slide imaging, digital pathology viewers, annotations, reporting, collaboration, and case-sharing workflows.
- Help define requirements for pathology-focused digital tools and platforms.
- Contribute to the development of scalable digital pathology workflows for laboratories and pathologists.
- Advise Path-iQ on the clinical application of AI and machine learning in pathology.
- Evaluate AI-assisted pathology models, image analysis tools, and computational pathology workflows.
- Provide expert input on clinical validation, limitations, usability, and responsible deployment of AI-assisted pathology technologies.
- Help identify clinically meaningful opportunities for AI-assisted diagnosis, research, education, and workflow optimization.
- Collaborate with data scientists, AI researchers, and technology teams to translate pathology requirements into practical solutions.
- Support pathology research initiatives and collaborative research programs.
- Contribute to research publications, abstracts, presentations, and scientific communications.
- Identify emerging developments in pathology, digital pathology, molecular diagnostics, and AI.
- Support collaborations with universities, hospitals, laboratories, researchers, and professional organizations.
- Participate in Path-iQ research and innovation initiatives.
- Contribute to pathology education and continuing professional development initiatives.
- Participate in webinars, lectures, case discussions, conferences, and educational programs.
- Support the development of pathology learning resources and expert content.
- Mentor and engage with pathologists and pathology trainees within the Path-iQ network.
- Help develop and strengthen Path-iQ's international network of pathologists and pathology institutions.
- Establish professional relationships with leading pathology departments, laboratories, academic institutions, and healthcare organizations.
- Represent Path-iQ at relevant scientific, academic, and professional forums.
- Support international collaboration between pathologists across regions and subspecialties.
- Contribute to the development of a trusted global community for pathology collaboration.
• MD, DNB, FRCPath, FCAP, or equivalent postgraduate qualification in Pathology.
• Appropriate medical registration in the relevant jurisdiction.
• Significant experience in diagnostic pathology.
• Strong experience in histopathology and/or a relevant pathology subspecialty.
• Previous departmental, academic, research, or professional leadership experience is preferred.
Preferred ExpertiseExperience or demonstrated interest in:
• Digital pat