CFA - Artificial Intelligence and Health Informatics Specialist (P)

Overview

Support the Migration Health Informatics unit in the effective, safe, and ethical use of Artificial Intelligence (AI) in Health Assessment Programme (HAP) medical workflows and strengthen data management, analytics, and quality assurance.

Key Responsibilities

• Support the implementation of approved AI tools (e.g., CAD for CXR) within SOPs, verifying correct positioning in PMHA flows.
• Provide technical support for testing and validating AI models for medical classification, computer-aided diagnosis, and operational quality control.
• Support in the preparation of validation protocols for LLM outputs, monitor bias and safety, and participate in responsible AI practices.
• Support the development and maintenance of responsible AI governance artefacts.
• Support the safe use of AI outputs as decision-support tools within defined clinical and operational workflows.
• Support the integration of AI services into MHD IT workflows and infrastructure.
• Assist in technical and functional assessment of commercial and open-source AI solutions.
• Support with creating and updating analytics and visualization material for HAP statistics, performance, and end-user experience.
• Assist with AI-in-HAP; support donor/partner updates; and provide inputs to regional/global workstreams.
• Participate in training activities for clinicians, radiographers, and data staff on AI/CAD and LLM use.

Required Experience

• Master’s degree with five years of relevant professional experience; or University degree with seven years of relevant professional experience.
• Proven experience with LLM/NLP, computer vision, or time-series analysis.
• Proven experience in the management and processing of large and complex databases.
• Experience or practical knowledge of MLOps/LLMOps practices.
• Experience working with sensitive health data, electronic medical records, clinical workflows, medical imaging data, health data standards, or health information systems is desirable.

Qualifications

• Master’s degree in Medicine, Radiography, Health Informatics, Computer Science, Data Science, Biomedical Engineering, or a related field from an accredited academic institution.
• University degree from an accredited academic institution.
• Certification, coursework, or demonstrable applied experience in AI/ML, medical imaging informatics, NLP/LLM applications, health data analytics, or responsible AI for health is required.

Other Details