Senior Migration Health Informatics Associate; AI; GS

Introduction

Established in 1951, IOM is a related organization of the United Nations and a leading UN agency in the field of migration. IOM works closely with governmental, intergovernmental, and nongovernmental partners to promote humane and orderly migration. It provides services and advice to governments and migrants.

Within the Department of Mobility Pathways and Inclusion (DMPI), the Migration Health Division (MHD) oversees global migration health services. The Migration Health Informatics (MHI) unit leads digital transformation and advanced analytics for the Health Assessment Programme (HAP) of the MHD. The MHI is establishing an AI team and the Senior Medical Health Informatics Associate (AI) will support the safe, ethical use of Artificial Intelligence in HAP medical workflows.

The Senior Migration Health Informatics Associate (AI) will:

• Support applied AI projects in health informatics, including feedback sentiment analysis, health chatbots, electronic job aid tools for clinical coding, diagnosis, and treatment recommendations;
  Power BI Q&A; and Computer-Aided Diagnosis for chest X‑ray review for tuberculosis screening.
• Assist in reviewing AI Large Language Models (LLMs), Natural Language Processing (NLP), and specialized AI technology stacks such as Qure AI, Azure Healthcare agent service, Azure Health AI Actions, Azure Healthcare Orchestrator, multi‑agent Healthcare Agent Orchestrator, Azure AI Foundry, and Azure Dragon Copilot.
• Collaborate closely with the Migration Health Informatics Manager, the AI Work Group based in Manila, the MHD Senior Health Operations and Compliance Officer, and the team promoting AI in Migration Health Assessment Centers (MHACs) and HAP operations.
• Coordinate with colleagues across MHD Teleradiology, MHI Data Quality, Reporting and Research, MHI Software Development, IOM Data Science, and IOM Information and Communications Technology (ICT).
• Operate under the overall supervision of the Programme Coordinator (Global Health Assessment Programme) and direct supervision of the MHI Manager.

Applicants should have:

• A relevant postgraduate degree in medical informatics, health informatics, computer science, or a related discipline.
• Experience with AI/ML applications in healthcare, including NLP and LLMs.
• Knowledge of health information systems, data quality, analytics, and quality assurance.
• Strong analytical, communication, and project management skills.

Applications are welcome from internal and external candidates. Qualified first‑tier candidates are considered before second‑tier candidates in the selection process.