AI Associate – MD

Included Health

Physician responsible for AI clinical quality assurance and oversight at Included Health. Leading governance and monitoring of clinical AI tools while supporting quality operations across care models.

Posted 5/1/2026full-timeRemote • 🇺🇸 United StatesJuniorMid-Level💰 $188,270 - $288,048 per yearWebsite

Tech Stack

Tools & technologies

SQLTableau

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.
Experience building, deploying, and iterating, clinical AI agents (preferred)
Proficiency in business intelligence and analytics. (e.g., Tableau/Power BI; basic SQL/statistics) (preferred)
Experience in virtual care/care navigation and enterprise audits (preferred)

Benefits

Comp & perks

Remote-first culture
401(k) savings plan through Fidelity
Comprehensive medical, vision, and dental coverage through multiple medical plan options (including disability insurance)
Paid Time Off ("PTO") and Discretionary Time Off ("DTO")
12 weeks of 100% Paid Parental leave
Family Building & Compassionate Leave: Fertility coverage, $25,000 for surrogacy/adoption, and paid leave for failed treatments, adoption or pregnancies.
Work-From-Home reimbursement to support team collaboration home office work

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI clinical tool validationLLM evaluation datasetsclinical review of LLM outputsred-teamingprompt testingRAG assessmentquality improvementPDSALean/Six SigmaFMEA

Soft Skills

stakeholder communicationcollaborationeducationtrainingdocumentation

Certifications

MDDOactive unrestricted license