xCures Inc.

Sep 19, 2026

AI Quality Engineer

RemoteUnited States

United States

PythonSQLAWSGCP

Here’s Where You’ll Make An Impact

As xCures scales its clinical extractors across new clients and clinical domains, every structured output has to hold up to scientific and regulatory scrutiny. As our AI Quality Engineer, reporting to the Vice President of Scientific and Medical Affairs, you own that standard.

You run the quality control that keeps our extractors trustworthy. You lead the regulatory alignment that lets clients rely on our outputs. You translate extractor performance into clear, evidence-backed reporting that clients and internal teams act on. Working closely with Data Science, Engineering, and Clinical Informatics, you help turn messy medical text into source-linked clinical data that stands up to review.

If you want your scientific rigor to shape a platform used for real clinical decisions, this is where it lands.

Key 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

Qualifications

Required

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

Bonus Points

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

Location

xCures operates in a distributed, remote-first environment, with occasional travel to company offsites or key meetings throughout the year. Candidates may be located anywhere in the United States. The successful candidate must already have authorization to work in the United States. At this time, xCures does not offer sponsorship. All candidate information will be held in confidence and in accordance with EEOC guidelines.

Additional Considerations

We recognize that people bring a wealth of experience and talent beyond just the requirements listed in a job description. Diversity of experience and skills, combined with a shared passion for healthcare, is what drives us to innovate. We welcome candidates from all backgrounds and encourage you to apply, even if you don’t meet every qualification listed. xCures is an equal opportunity employer, committed to creating an inclusive environment for all employees.

Compensation

The anticipated base salary range for this role is $100,000 to $130,000.

Benefits

Great work deserves great support. We believe our people are our greatest asset, and we’re committed to supporting them with a strong, competitive benefits package. Our goal is to be a place where people genuinely want to build their careers, and our benefits are designed to support our team in the ways that matter most.

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

And more!

Languages

AI Quality Engineer

Here’s Where You’ll Make An Impact

Key Responsibilities

Qualifications

Required

Bonus Points

Location

Additional Considerations

Compensation

Benefits

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