AI Quality Engineer

xCures, Inc.; United States; Remote; USD 100,000 - 130,000; Full time

Benefits offered by this job

Remote-First

Equity Package

Medical Insurance

PTO & Holidays

Job summary

xCures, Inc. is hiring an AI Quality Engineer in a distributed, remote-first environment across the United States.

You will own quality control for clinical extractors, lead regulatory alignment, and translate performance metrics into clear, evidence-backed reports for clients and internal teams. You will partner with Data Science, Engineering, and Clinical Informatics to improve extraction methods and ensure compliant data delivery.

Qualifications

• Strong background in computational biology or bioinformatics
• Strong clinical knowledge across major disease areas and standard-of-care patterns
• Experience with electronic medical records, HIE, and QHIN ecosystems
• Experience with structured clinical data and real-world data analysis
• Knowledge of data quality, validation, and provenance for real-world data
• Proficiency in Python, R, or SQL for data manipulation
• Ability to translate complex science into clear findings
• Strong written and verbal communication skills
• Experience managing multiple complex projects remotely
• Comfort working with virtual collaboration tools

Responsibilities

• Lead ongoing quality control of clinical extractor outputs and resolve discrepancies
• Lead regulatory alignment for extraction and validation programs
• Produce client-facing performance reports with evidence-backed findings
• Serve as SME for oncology and real-world evidence across Data Science and Engineering
• Collaborate with Data Science to refine extraction logic and domain relevance
• Define and monitor clinical quality KPIs and data drift
• Work with Engineering to export structured data to FHIR and CSV formats
• Support data governance, de-identification, and data dictionaries
• Provide clinical reviews in QA events and client demos

Skills

Python

R

SQL

Data quality

Clinical informatics

Education

Life sciences degree

Tools

Git

GitHub

AWS

GCP

Job description

Lots of data, little understanding. Medical records for a single patient live scattered across dozens of providers, and critical data is buried in unstructured faxes, PDFs, and notes that no one has time to read. Access to health data is no longer the problem. Getting a clear, structured, trusted piece of information out of that mess is. That’s the problem xCures® exists to solve.

The xCures Clinical Clarity Engine turns fragmented records into validated, source-linked answers built for the next decision. Every extracted data point traces back to the exact document and page it came from. Automatically get the patient history you need, so you can make decisions based on more accurate information without digging through documents.

We work with anyone that needs information from medical data for their next decision: diagnostic labs, providers, telehealth providers, health systems, payers, consumer health platforms, and more. Wherever a decision is stuck behind 200 scattered documents no one has time to read, that’s our problem to solve. We’re a remote-first, Series B, venture-backed team that holds itself to the same standard as our product: trustworthy, precise, and purposeful. If you like solving problems that are genuinely hard and useful, you’ll feel at home here.

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. xCures is an equal opportunity employer, committed to creating an inclusive environment for all employees.

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
• 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!

Compensation

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