At Included Health, we're redefining healthcare to ensure everyone has access to top-quality care. Our Clinical Quality and Safety team contributes in this mission.
We are looking for a physician to join our team at Included Health, where you will be instrumental in driving our mission to raise the standard of healthcare. This role is responsible for clinical AI quality assurance, oversight plus core clinical quality/safety responsibilities. You will lead and/or support the governance, validation, and monitoring of AI/LLM tools. You will additionally support URAC/NCQA-aligned quality operations across our virtual and hybrid care models. This role reports to the Patient Safety Officer within the Clinical Quality team.
AI clinical tool validation and LLM strengthening
Lead pre-deployment validation
Produce model cards/transparency (intended use, limits, monitoring, rollback).
Partner on data quality (provenance, representativeness, refresh cadence, privacy).
Build LLM evaluation datasets/gold standards; run clinical red-teams and prompt testing; refine prompts/guardrails; assess RAG fidelity.
Clinical-in-the-loop enablement
Train clinicians to oversee AI tools and adjudicate exceptions; create SOPs/checklists/escalations for LLM use.
Collaborate with engineering and product, security, compliance, legal, care and service line leaders.
AI governance and policy
Administer clinical AI governance (ethics, safety, regulatory, privacy, change control, documentation) in partnership with the Patient Safety Officer
Define clinical use criteria and human-in-the-loop guardrails;
Maintain governance artifacts (charter, SOPs, decision logs) and audit readiness.
Quality and patient safety
Support clinical QA; URAC/NCQA activities; policy/standards/rubrics management.
Lead/participate in event detection, RCA/FMEA, CAPA; education (CME/CE, targeted training).
Support client/payer audits, RFPs, VBC metrics (HEDIS, MIPS), implementations, and escalations, grievances/appeals.
Lead and/or support cross-functional efforts to analyze clinical quality performance data, identify improvement opportunities, and translate value-based care insights into health plan design enhancements that optimize outcomes, member experience, and cost efficiency.
Conduct ongoing assessments of clinical services, applying continuous improvement and evidence-based methodologies to ensure service effectiveness, measurable patient outcomes, and alignment with organizational quality standards.
Qualifications
Required
MD/DO with active, unrestricted license.
3+ years clinical practice; 2+ years in quality, patient safety, or clinical operations.
Experience with clinical review of LLM outputs; building eval datasets; red-teaming/prompt testing; RAG assessment.
QI/patient safety expertise (PDSA, Lean/Six Sigma, RCA/RCA2, FMEA, CAPA).
Working knowledge of URAC, NCQA, CMS; familiarity with HEDIS/MIPS.
Proven track record of quality improvement within value-based care models.
Experience partnering with analytics/data science; interpret core performance metrics
Excellent documentation and stakeholder communication.
Preferred
Experience building, deploying, and iterating, clinical AI agents
Proficiency in business intelligence and analytics. (e.g., Tableau/Power BI; basic SQL/statistics).
Experience in virtual care/care navigation and enterprise audits.
Core competencies
Strong clinical judgment; systems thinking.
Analytical rigor; documentation excellence.
Risk identification/mitigation in tech-enabled care.
Coaching/influencing across clinical and technical teams.
Leads through ambiguity; works independently.
Other
Remote-first; limited travel (~10-15%)
This is a remote role; however, candidates based in or near the San Francisco Bay Area are preferred.
