Overview
The consultant will support the establishment of an expert advisory group on AI in health for the WHO Regional Office in the Western Pacific and the organization of its first in-person expert group meeting.
Key Responsibilities
- Provide support in establishing the governance framework and Terms of Reference for the expert group.
- Support the establishment of a transparent open call process and selection of qualified experts.
- Contribute technical expertise to screening and ranking candidates.
- Provide technical support to the selection report.
- Provide guidance to drafting formal appointment letters and onboarding documentation.
- Provide technical support in conducting the first in-person expert group meeting, with a workplan adopted by group consensus and cleared meeting report published.
- Assist in providing inputs on detailed meeting workplan, background paper, agenda development, and participant coordination.
- Contribute to drafting programme agenda, background report and proposed three-year workplan options for in-person meeting deliberation.
Required Experience
- A minimum of three years of professional experience in public health, health policy, or digital health and AI in countries in the Western Pacific is required.
- International experience within WHO or other UN Organizations at multiple geographical locations.
- Demonstrated experience in evidence generation and knowledge sharing for public health.
- Experience in producing technical reports, frameworks, action plans at WHO or other UN organizations.
- Experience designing or managing international organization advisory group processes, including terms of reference development, open call management, expert selection, and meeting organization.
- Experience working on AI, digital health, or health technology governance at the national, regional, or international level.
- Experience working with or within LMIC health systems in the Western Pacific or Southeast Asia, with practical understanding of the governance, regulatory, and implementation constraints that characterize these settings.
Qualifications
- A university degree in a field relevant to the mandate of the assignment is required. Relevant fields include public health, health policy and systems, digital health, health informatics, bioethics, health technology assessment, or a related discipline.
- A master’s degree or higher in above disciplines is desirable.
- A background that combines technical understanding of digital or AI systems with health policy or governance experience is strongly preferred.
