[Hiring] AI Quality Engineer @xCures Inc.

Role Description

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.

• Run the quality control that keeps our extractors trustworthy.
• Lead the regulatory alignment that lets clients rely on our outputs.
• Translate extractor performance into clear, evidence-backed reporting that clients and internal teams act on.
• Work closely with Data Science, Engineering, and Clinical Informatics to 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.

Qualifications

• 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.

Requirements

• 4+ years of relevant industry experience (Bonus Points).
• Master's degree in computational biology, bioinformatics, or a life sciences discipline (Bonus Points).
• Experience with medical coding ontologies (SNOMED, LOINC, RxNorm, OMOP) (Bonus Points).
• Familiarity with version control (Git/GitHub) and collaborative code workflows (Bonus Points).
• Comfort in a command-line environment and cloud development tools (AWS, GCP, or similar) (Bonus Points).
• Experience defining or reporting quality and performance metrics for AI or data-extraction systems (Bonus Points).
• Familiarity with de-identification (HIPAA Safe Harbor or Expert Determination) and clinical data governance (Bonus Points).

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
• And more!

Compensation

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