AI Quality Engineer

🕒 Yesterday

🇺🇸 United States – Remote

💵 $100k - $130k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔧 QA Engineer (Quality Assurance)

👻 Ghost score 0%

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xCures Inc.

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2018

🏥 Healthcare

🤖 Artificial Intelligence

☁️ SaaS

Healthcare • Artificial Intelligence • SaaS

xCures is a healthcare AI company that provides a Clinical Clarity Engine to retrieve, assemble, and structure fragmented medical records into decision-ready, source-linked clinical data. Its products—Evidence Grade Data, Automated Patient History, and Decision-Ready Checklists—extract and validate clinical information at scale, delivering verifiable outputs via summaries, dashboards, APIs, and export feeds for healthcare teams and partners. xCures is B2B-focused, serving providers, diagnostics groups, value-based care organizations, and channel partners; it emphasizes traceability and validation (peer-reviewed research, high extraction accuracy, and HITRUST certification) and processes medical records at large scale to accelerate prior authorization, chart review, quality reporting, and other clinical and operational workflows.

📋 Description

• Lead ongoing quality control of clinical extractor outputs • Run systematic accuracy and consistency analyses across detection, dataset composition, and value extraction • Resolve discrepancies before they reach clients • Lead regulatory alignment for extraction and validation programs • Maintain quality processes, methodology, and documentation consistent with applicable privacy, de-identification, and clinical-data standards • Lead client-facing performance reporting • Translate validation metrics and extractor capabilities and limitations into evidence-backed reports • Serve as an internal subject-matter expert for clinical domains, especially oncology and real-world evidence • Guide the Data Science team on interpretation, clinical relevance, and extraction-method limitations • Partner with Data Science to prototype and refine extraction logic, inferred variables, normalization, and binning • Define and monitor clinical quality KPIs • Track extractor performance drift and recommend retraining or recalibration • Work with Engineering and Clinical Informatics to ensure accurate export into FHIR bundles and CSV tables • Support data governance and dataset integrity, including data-dictionary alignment, de-identification, and clinical dataset quality • Serve as a clinical reviewer in internal quality reviews, client demos, and QA events • Support business development with feasibility analysis for prospective and current clients

🎯 Requirements

• Strong background in computational biology, bioinformatics, or a related life sciences discipline through formal education or hands-on experience • Strong clinical knowledge across major disease areas, including diagnostic criteria, staging or severity classifications, and standard-of-care treatment patterns • Experience with electronic medical records and the healthcare data landscape, including Health Information Exchanges (HIE) and Qualified Health Information Networks (QHIN) • Experience with structured clinical data and real-world data analysis • Strong grasp of data quality principles and data validation processes • Ability to assess the provenance and limitations of real-world data • Proficiency in Python, R, or SQL for data manipulation and analysis • Ability to translate complex scientific concepts into clear, actionable findings for technical and non-technical audiences • Strong written and verbal communication skills • Ability to manage multiple complex, unrelated projects simultaneously • Strong organization and time management • Comfort working remotely with virtual collaboration tools • Must already have authorization to work in the United States • 4+ years of relevant industry experience (bonus) • Master's degree in computational biology, bioinformatics, or a life sciences discipline (bonus) • Experience with medical coding ontologies, including SNOMED, LOINC, RxNorm, or OMOP (bonus) • Familiarity with Git/GitHub and collaborative code workflows (bonus) • Comfort with command-line environments and cloud development tools such as AWS or GCP (bonus) • Experience defining or reporting quality and performance metrics for AI or data-extraction systems (bonus) • Familiarity with de-identification and clinical data governance (bonus)

🏖️ Benefits

• Remote-first work environment • Paid time off • 13 company holidays • Equity package • Paid parental leave • Medical, vision, and dental insurance • Employer HSA contribution • Employer 401(k) match • Short-term disability, long-term disability, life insurance, and critical illness plans • Employee assistance program • Adoption assistance • Company offsites • Monthly internet allowance • Professional development funds