Artificial Intelligence and Health Informatics Specialist

The Artificial Intelligence and Health Informatics Specialist will support the Migration Health Informatics unit in implementing AI tools within medical workflows, validating AI models, and ensuring responsible AI governance. The role involves collaboration with various teams to enhance health informatics and AI integration in migration health services globally.

Responsibilities

• Support the implementation of approved AI tools within SOPs, verifying correct positioning in Pre-Migration Health Activities flows and supporting medical workflows including radiology.
• Provide technical support for testing and validating AI models for medical classification, computer-aided diagnosis, and operational quality control.
• Support preparation of validation protocols for LLM outputs; monitor bias and safety according to WHO and IOM standards; participate in responsible AI practices including bias checks, privacy reviews, and documentation.
• Support development and maintenance of responsible AI governance artefacts including validation protocols, model cards, risk assessments, human oversight procedures, and incident escalation pathways.
• Support safe use of AI outputs as decision-support tools within clinical and operational workflows ensuring human review and clinical accountability.
• Support integration of AI services into MHD IT workflows and infrastructure such as medical record and patient management systems.
• Assist in technical and functional assessment of commercial and open-source AI solutions including review of documentation, model limitations, data protection implications, and operational suitability.
• Support creation and updating of analytics and visualization material for HAP statistics and performance including Power BI Q&A and AI visuals.
• Assist with AI-in-HAP initiatives, 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 including limitations and documentation requirements.
• Collaborate with Teleradiology, AI Work Group, MHI teams, ICT, and Senior Health Operations and Compliance Officer.
• Perform other duties as assigned.

Requirements

• Master’s degree in Medicine, Radiography, Health Informatics, Computer Science, Data Science, Biomedical Engineering, or a related field from an accredited academic institution with five years of relevant professional experience; or University degree from an accredited academic institution, with seven years of relevant professional experience.
• 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.
• Proven experience with LLM/NLP, computer vision, or time-series analysis.
• Proven experience in the management and processing of large and complex databases.
• Proven experience in Microsoft Synapse or Fabric data analytics is an advantage.
• 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.
• Ability to work with programming languages such as SQL, Python, or R.
• Proficiency in data science and ML frameworks.
• Knowledge of health data standards and medical terminologies such as HL7/FHIR, ICD, SNOMED CT, LOINC, DICOM and/or PACS/RIS workflows is an advantage.
• Desirable background in global health and migration.
• Desirable background in open-source or commercial AI technology stacks (i.e. BioGPT, ClinicalBERT, Azure Health AI Actions, Healthcare Agent Service, and MS Copilot Studio).
• Fluency in English (oral and written) is required.
• Working knowledge of Spanish is desirable.

Skills

• Artificial Intelligence
• Machine Learning
• Medical Imaging Informatics
• Natural Language Processing
• Large Language Models
• Health Data Analytics
• Responsible AI for Health
• Computer Vision
• Time-Series Analysis
• Database Management
• Microsoft Synapse
• Microsoft Fabric
• MLOps principles
• LLMOps
• Electronic Medical Records
• Clinical Workflows
• Health Data Standards
• HL7/FHIR Standards
• ICD coding
• SNOMED CT
• LOINC
• DICOM
• PACS RIS Workflows
• SQL Programming
• Python Programming
• R Programming
• Data Science
• ML Frameworks

Languages

English, Spanish