UAT & Clinical Quality Tester

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• Design and execute structured UAT test plans at pilot and scale-up facilities for each workflow module, engaging nurses, midwives, and other frontline users as primary testers • Document user feedback, usability issues, and workflow friction points per module; synthesise findings for the product and training teams • Work with the Clinical Trainer and Clinical Pharmacy Advisor to develop and maintain a clinical validation rubric for each workflow module • Validate AI output quality against those rubrics, tracking concordance with Rwanda national clinical guidelines per workflow • Flag anomalies, recurring errors, or clinically unsafe outputs to the Technical Lead promptly, with clear documentation • Maintain a module-by-module validation status tracker across all active clinical workflow domains • Support the MoH AI Laboratory certification process by providing structured testing evidence per workflow module • Collaborate with Field Support & Adoption Officers during facility visits • Contribute to test documentation and evidence packages for milestone reviews and funder reporting • Background in health informatics, nursing, clinical officer training, or a related health field — OR a tech-savvy professional with substantial experience across multiple clinical service areas • 3+ years of experience in health system work, digital health, or software testing in a health context • Ability to work across diverse clinical contexts — from mental health to maternal care to pharmacy • Ability to interpret clinical guidelines and apply them in a structured evaluation context • Strong documentation, analytical, and organisational skills — managing validation status across multiple modules requires rigour • Experience with Rwanda’s primary health care system or national health information systems is a strong advantage