Monitoring and testing the AI Assistant to identify opportunities for improvement in clinical safety, effectiveness, and user experience.
Triaging and investigating performance issues in the AI Assistant, recommending solutions that may include prompt engineering, updates to the knowledge base, or adjustments to workflows.
Ensuring clinical safety and compliance by aligning product outputs with established clinical insights and regulatory standards.
Maintaining and evolving the AI Assistant's knowledge base (e.g., for RAG systems), ensuring alignment between prompts, source material, and clinical intent.
Clearly documenting test cases, results, and improvement cycles - supporting transparency and reproducibility.
Collaborating with product, engineering, and clinical governance teams to implement changes and track their impact.
Supporting user research and usability testing, gathering clinician and patient feedback to guide iterative improvements.
Contributing to audit readiness and supporting internal clinical governance processes to ensure AI products meet Numan’s safety and quality standards.
Requirements
A clinical professional license with extensive years of practice experience in regulated healthcare environments.
Strong interest in AI/ML in healthcare, particularly clinical decision support and structured data applications.
Passion for leveraging technology to improve health outcomes and enable safer, more scalable care.
Experience with clinical validation, audit trails, and documentation for automated clinical tools.
Understanding of the importance of safety, explainability, and appropriate human oversight in AI systems.
A systems mindset, considering care delivery end-to-end rather than focusing only on individual features.
Confidence in translating clinical and operational needs into clear product decisions and enhancements.
An iterative approach that balances clinical rigour with pragmatism in fast-paced environments.
Strong communication skills to explain clinical reasoning and safety principles to both technical and non-technical audiences.
Comfort collaborating in cross-functional teams with clinicians, engineers, designers, and commercial leads.
Familiarity with clinical governance frameworks and audit processes in a digital healthcare context.