Remote AI Quality Engineer — Clinical Data & Compliance

Socket.dev; United States; Remote; USD 100,000 - 130,000; Full time

Benefits offered by this job

Remote-First

Paid Time Off and 13 Company Holidays

Equity Package

Medical, Vision, and Dental

Employer 401(k) Match

STD, LTD, Life Insurance and Critical-

Employee Assistance Program

Job summary

xCures, a distributed, remote‑first company, is seeking an AI Quality Engineer to own regulatory‑aligned quality control for clinical extractors and to translate performance into evidence‑backed reports. You will collaborate with Data Science, Engineering, and Clinical Informatics to ensure outputs withstand regulatory review across diverse clinical domains.

You’ll lead privacy standards, develop KPI dashboards, monitor data drift, and help export data to FHIR and CSV formats.

Qualifications

• Background in computational biology or related life sciences.
• Clinical knowledge across major disease areas and standard‑of‑care patterns.
• Experience with electronic medical records, HIEs, and QHINs.
• Experience with structured clinical data and real‑world data analysis.
• Understanding of data quality, validation, provenance, and limitations of real‑world data.
• Proficiency in Python, R, or SQL for data manipulation and analysis.

Responsibilities

• Lead ongoing quality control of clinical extractor outputs and resolve discrepancies before they reach clients.
• Lead regulatory alignment for extraction and validation programs, ensuring privacy and de‑identification standards are followed.
• Produce client‑facing performance reports with clear, evidence‑based findings.
• Serve as clinical SME for oncology and real‑world evidence, guiding Data Science on interpretation and clinical relevance.
• Collaborate with Data Science to refine extraction logic and variables, with domain expertise on medical text nuances.
• Define and monitor clinical quality KPIs and data‑drift, advising retraining when needed.
• Work with Engineering to export structured clinical data into FHIR bundles and CSV tables.
• Support data governance and dataset integrity with data‑dictionary alignment and de‑identification.
• Act as a clinical reviewer in internal QA, client demos, and feasibility analyses for clients.

Skills

Python

R

SQL

Data analysis

Communication

Project management

Remote work

Education

Master’s degree in computational biology, bioinformatics, or life sciences

Tools

Git/GitHub

AWS/GCP

Job description

xCures, a distributed, remote‑first company, is seeking an AI Quality Engineer to own regulatory‑aligned quality control for clinical extractors and to translate performance into evidence‑backed reports. You will collaborate with Data Science, Engineering, and Clinical Informatics to ensure outputs withstand regulatory review across diverse clinical domains.

You’ll lead privacy standards, develop KPI dashboards, monitor data drift, and help export data to FHIR and CSV formats.