Description

Job Description

The Lead Clinical Informaticist will own the design and continuous improvement of human-in-the-loop (HITL) validation workflows and clinical governance dashboards across PURA. This role ensures that clinician feedback is captured in a structured way, converted into data and product requirements, and used to monitor and improve AI models over time. The role also anchors PURA’s adherence to interoperability, regulatory and human factors standards.

Key Responsibilities:

1. Clinical–Technical Design & Integration

• Design, implement and maintain clinical validation dashboards (e.g., Anomaly Review, Explainability/XAI, Governance views) used by clinicians and governance bodies.
• Translate clinical workflows, edge cases and feedback into structured data requirements for MLOps pipelines, data science teams and product roadmaps.
• Define and maintain data schemas and interoperability standards, leveraging FHIR, HL7 and relevant clinical terminologies (e.g., SNOMED CT, LOINC) across PURA solutions.
• Ensure clinical workflows supported by PURA’s tools map cleanly to existing care pathways and do not introduce unsafe workarounds or workflow friction.

2. Explainability, Human Factors & Usability

• Build and refine XAI (Explainable AI) panels that present model logic, inputs and outputs in clinician-friendly language, supporting safe interpretation and decision-making.
• Ensure HITL tools and clinician-facing interfaces comply with human factors and usability expectations, including IEC 62366.
• Work closely with UX/UI and product teams to design interfaces that are intuitive, reduce cognitive load, and align with real-world clinical practice.

3. Governance, Monitoring & Audit Readiness

• Monitor model performance and bias metrics (e.g., accuracy, sensitivity, specificity, subgroup performance) within governance dashboards, and raise issues through the appropriate clinical governance channels.
• Ensure traceability between clinical feedback, model retraining, configuration changes and release notes, supporting internal and external audits.
• Contribute to clinical risk reviews and decision-making for AI tools deployed across PureHealth entities.

4. Collaboration, Stakeholder Management & RCA

• Act as a primary liaison between clinical validators, data scientists, MLOps engineers, product owners and regulatory/quality teams.
• Participate in root cause analyses (RCA) for false positives/negatives, usability issues and other clinical incidents related to AI-enabled tools.
• Engage senior clinicians and executive stakeholders to ensure alignment on priorities, trade-offs and clinical safety considerations.

5. Continuous Improvement & Learning Health System

• Drive ongoing enhancements in workflow efficiency and feedback capture systems, including structured HITL feedback loops.
• Contribute to closed-loop retraining processes using structured clinical feedback data, helping to improve model performance and safety over time.
• Champion best practices in clinical informatics, digital health and AI adoption across PureHealth and its subsidiaries.

Qualification Requirements:

• MD or Registered Nurse (RN) with board certification in Clinical Informatics
• or PhD/Master’s degree in Health/Clinical Informatics or a closely related field.
• Proven experience working at the intersection of clinical care and health IT / analytics / AI (e.g., digital health, virtual care, clinical decision support, SaMD).

Skills & Competencies

Clinical & Informatics Expertise

• Deep understanding of clinical workflows, patient journeys and biomarker interpretation.
• Experience with human-in-the-loop processes and clinical validation of decision support tools.

Technical & Data Skills

• Proficiency with data analytics tools, including SQL and at least one of Python or R, especially for validation metrics and performance monitoring.
• Familiarity with MLOps concepts, model monitoring frameworks and data pipelines in a healthcare context.

Interoperability & Standards

• Strong working knowledge of interoperability standards (FHIR, HL7) and clinical terminologies (SNOMED CT, LOINC).

Regulatory & Compliance Awareness

• Awareness of SaMD regulations (e.g., FDA, CE) and relevant standards such as ISO 13485, IEC 62304 and ISO 14971, and how they apply to AI-enabled clinical solutions.

Human Factors & UX

• Ability to review and influence interface design for clinician-facing tools, focusing on usability, safety and adoption.

Collaboration & Communication

• Excellent communication skills, capable of translating technical concepts into clinical language and vice versa.
• Skilled in stakeholder management across clinical, technical and governance teams, with the confidence to engage senior clinicians and leadership.