AI Functional Tester Expert - Remote(Must have healthcare experience)

Overview

Remote
$50 - $60
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)

Skills

Access Control
Application Lifecycle Management
Artificial Intelligence
Auditing
Automated Testing
Cloud Computing
Cloud Storage
Collaboration
Continuous Delivery
Continuous Integration
DICOM
Data Flow
Data Integrity
Decision Support
Electronic Health Record (EHR)
Encryption
Functional Testing
Good Clinical Practice
Google Cloud Platform
HIPAA
HL7
Health Care
JIRA
JUnit
Machine Learning (ML)
POSTMAN
Quality Assurance
Regression Analysis
Regulatory Compliance
Reporting
Selenium
Smoke Testing
TensorFlow
Test Cases
Test Execution
Test Scenarios
Testing
Training
Vertex
Workflow

Job Details

Role: AI Functional Tester Expert

Location: 100% Remote

Minimum 9+ years of experience

Functional Validation

Execute functional testing of AI/ML healthcare applications deployed on Google Cloud Platform (Vertex AI, BigQuery, Dataflow, Cloud Storage, Pub/Sub).

Validate healthcare data flows, APIs, and integration points with FHIR, HL7, DICOM, and EHR/EMR systems.

Verify AI model outputs against business requirements, ensuring accuracy, fairness, and clinical relevance.

Test Design & Execution

Create test scenarios, test cases, and test data specific to healthcare workflows (claims, patient records, imaging, clinical decision support).

Perform manual and automated testing for APIs, cloud applications, and AI models.

Validate data integrity, transformations, and anonymization processes for PHI/PII compliance.

Automation & Tools

Use tools like Postman, Selenium, PyTest, JUnit, and integrate with Google Cloud Platform testing pipelines (Cloud Build, CI/CD).

Leverage Vertex AI and TensorFlow Extended (TFX) testing capabilities to validate model training, predictions, and drift.

Perform regression and smoke testing for healthcare AI applications across Google Cloud Platform environments.

Compliance & Security

Ensure all testing adheres to HIPAA, GDPR, and healthcare security guidelines.

Validate access controls, audit logs, and encryption in transit/at rest within Google Cloud Platform.

Test synthetic/anonymized datasets for compliance with healthcare regulations.

Collaboration & Reporting

Work closely with developers, data scientists, and healthcare SMEs to ensure correct implementation of AI features.

Log, track, and report defects using tools like JIRA/ALM, ensuring traceability.

Provide detailed test execution reports, highlighting risks, gaps, and compliance checkpoints.

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About Zeforge LLC