Artificial Intelligence and Health Informatics Specialist

Supports IOM’s Migration Health Informatics work by integrating, validating and governing artificial-intelligence tools for health-assessment operations. The specialist helps teams assess clinical AI solutions, strengthen data quality and analytics, document safeguards and model risks, and build staff capacity for safe human-reviewed use of AI in medical workflows across global health programmes.

• Implement approved AI tools in pre-migration health workflows and support radiology quality control
• Test and validate AI models for medical classification, computer-aided diagnosis and operational quality control
• Prepare LLM validation protocols and coordinate bias, privacy, access-control and audit-trail safeguards
• Maintain AI governance artefacts including model cards, risk assessments, oversight procedures and monitoring plans
• Integrate AI services with medical-record and patient-management systems
• Assess commercial and open-source AI solutions for health workflows
• Create analytics and visualizations for programme statistics, performance and user experience
• Train clinicians, radiographers and data staff on AI and LLM use and limitations

• Master’s degree in Medicine, Radiography, Health Informatics, Computer Science, Data Science, Biomedical Engineering or a related field with five years of relevant professional experience, or a University degree with seven years
• Certification, coursework or demonstrable applied experience in AI or machine learning, medical imaging informatics, NLP or LLM applications, health-data analytics or responsible AI for health
• Fluency in English, orally and in writing

• Experience with Microsoft Synapse or Fabric data analytics
• Practical knowledge of MLOps or LLMOps
• Experience with sensitive health data, electronic medical records, clinical workflows, medical imaging, health standards or health information systems
• Working knowledge of Spanish
• Background in global health and migration
• Background in open-source or commercial AI technology stacks

• Artificial Intelligence
• Machine Learning
• Natural Language Processing
• Large Language Models
• Computer Vision
• Health Informatics
• Responsible AI
• Model Validation
• Data Analytics
• Data Governance
• MLOps
• Clinical Workflows

• SQL
• Python
• R
• Power BI
• Microsoft Synapse
• Microsoft Fabric
• HL7
• FHIR
• DICOM
• PACS

• Internationally recruited professional staff are required to be mobile