Note: The job is a remote job and is open to candidates in USA. xCures Inc. develops technology that transforms fragmented medical records into validated, source-linked clinical information for healthcare decision-making. The AI Quality Engineer will own quality control, regulatory alignment, performance reporting, and clinical validation of AI-powered clinical extractors while partnering with Data Science, Engineering, and Clinical Informatics.
Responsibilities
- Lead ongoing quality control of clinical extractor outputs, running systematic accuracy and consistency analyses across detection, data-set composition, and value extraction, and resolving discrepancies before they reach clients
- Lead regulatory alignment for the extraction and validation program, keeping quality processes, methodology, and documentation consistent with applicable privacy, de-identification, and clinical-data standards
- Lead client-facing performance reporting, translating validation metrics and extractor capabilities and limitations into clear, evidence-backed reports for client and internal audiences
- Serve as an internal subject-matter expert for clinical domains, with an emphasis on oncology and real-world evidence, guiding the Data Science team on interpretation, clinical relevance, and the limits of current extraction methods
- Partner with Data Science to prototype and refine extraction logic, inferred variables, normalization, and binning, contributing domain expertise on the nuances of medical text
- Define and monitor clinical quality KPIs, track extractor performance drift over time, and recommend retraining or recalibration when the data warrants it
- Work with Engineering and Clinical Informatics to ensure accurate export of structured clinical data into downstream formats such as FHIR bundles and CSV tables
- Support data governance and dataset integrity, contributing to data-dictionary alignment, de-identification, and the quality of clinical datasets used for development and delivery
- Serve as a clinical reviewer in internal quality reviews, client demos, and QA events, and support business development with feasibility analysis for prospective and current clients
Skills
- Strong background in computational biology, bioinformatics, or a related life sciences discipline, whether 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
- Demonstrated experience with electronic medical records and the current healthcare data landscape, including Health Information Exchanges (HIE) and Qualified Health Information Networks (QHIN)
- Demonstrated experience with structured clinical data and real-world data analysis
- Strong grasp of data quality principles, data validation processes, and the 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
- Proven ability to manage multiple complex, unrelated projects at once, with strong organization and time management
- Comfort working remotely with virtual collaboration tools
- Candidates may be located anywhere in the United States
- The successful candidate must already have authorization to work in the United States
- 4+ years of relevant industry experience
- Master's degree in computational biology, bioinformatics, or a life sciences discipline
- Experience with medical coding ontologies (SNOMED, LOINC, RxNorm, OMOP)
- Familiarity with version control (Git/GitHub) and collaborative code workflows
- Comfort in a command-line environment and cloud development tools (AWS, GCP, or similar)
- Experience defining or reporting quality and performance metrics for AI or data-extraction systems
- Familiarity with de-identification (HIPAA Safe Harbor or Expert Determination) and clinical data governance
Benefits
- Remote-First
- Paid Time Off and 13 Company Holidays
- Equity Package
- Paid Parental Leave
- Medical, Vision, and Dental
- Employer HSA Contribution
- Employer 401(k) Match
- STD, LTD, Life Insurance and Critical Illness Plans
- Employee Assistance Program
- Adoption Assistance
- Company Offsites
- Monthly Internet Allowance
- Professional Development Funds
Company Overview