More jobs:
Quality Consultant
Job in
San Francisco, San Francisco County, California, 94199, USA
Listed on 2026-01-12
Listing for:
Hinge Health
Part Time
position Listed on 2026-01-12
Job specializations:
-
Healthcare
Data Scientist -
Quality Assurance - QA/QC
Data Analyst
Job Description & How to Apply Below
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We are seeking a highly skilled Quality Consultant for the Care Quality team at Hinge Health. In this role, you will support Care Team Operations by executing quality review protocols, producing actionable reporting, and driving system improvements across Physical Therapy, Health Coaching, Onboarding, and Support. You will report to the Senior Manager, Quality Assurance and work closely with cross‑functional teams including Product, Member Success, Learning & Development, and adjacent functions.
WhatYou'll Accomplish
- Execute cross-functional quality reviews for care interactions (e.g., video visits, messaging, documentation) to ensure adherence to quality standards and protocols.
- Translate review findings into actionable feedback and support continuous improvement across care teams.
- Maintain and update quality rubrics, review protocols, and data collection templates to ensure downstream analyses and dashboards are accurate and efficient.
- Build, validate, and update quality review rubrics and protocols, ensuring alignment with evidence-based and external quality standards.
- Analyze qualitative and quantitative findings from reviews and deliver clear, actionable feedback to care team members and leaders.
- Partner with Product, Physical Therapy, Member Success, Learning & Development, and other functions to assess performance, close gaps, and improve workflow and member experience.
- Produce accurate, executive-ready reporting (summaries, dashboards) that identifies root causes, prioritizes recommendations, and tracks remediation through completion.
- Conduct targeted audits of documentation and member interactions; support identification, tracking, and closure of corrective and preventive actions (CAPA) in alignment with QMS procedures.
- Contribute to outcomes measurement strategy by recommending standards-aligned tools and low-burden, evidence-based measures that demonstrate program effectiveness.
- Use AI tools responsibly to improve review speed and consistency; apply oversight levels, fairness checks, and data-handling requirements per Care Quality’s AI policy.
- Plan, sample, and execute quality review studies across modalities; apply standardized scoring; ensure data integrity and traceability of quality records.
- Synthesize findings into concise reports and debriefs; escalates risks; and coordinate corrective and preventive actions with accountable owners.
- Monitor quality metrics and composite scoring to identify trends and system-level opportunities; document insights for management review inputs.
- Maintain compliance with QMS-controlled documents, SOPs, and audit readiness; contribute artifacts and evidence for internal/external audits.
- Coach reviewers and care team contributors on rubric application and best practices; provide timely, constructive, growth-oriented feedback.
- Lead data management for Quality: define and maintain data dictionaries and sampling frames; ensure data integrity, lineage, and governance; implement appropriate PHI safeguards, access controls, and retention; build and maintain source-of-truth datasets and dashboards; partner with DS/Analytics to automate ingestion, quality checks, and documentation; track change logs to preserve audit readiness.
Employees in hybrid roles are required to be in the office 3 days per week for the full 8‑hour work day. The San Francisco office has a dog‑friendly workplace program.
Basic Qualifications- 2+ years of experience in healthcare quality assurance, clinical operations, or a related field.
- Experience executing quality review protocols and audits in a healthcare or digital health environment.
- Proficiency in analyzing qualitative and quantitative data and producing actionable reports.
- Familiarity with HIPAA and healthcare privacy standards.
- Experience working cross-functionally with clinical and non-clinical teams.
- Bachelor’s degree in a healthcare, science, or quality-related field.
- Experience with external healthcare quality frameworks.
- Experience using AI-enabled tools for quality review or process improvement.
- Demonstrated ability to coach and provide…
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