Healthcare Specialist (Remote)
- ["Canada"]
- Remote
- Posted Jun 24, 2026
- 1 position
Opens an external site
- Employment type
- Contract
- Experience level
- Senior · 5+ years
Job summary
Role: Healthcare Specialist (Remote) Location: Remote (Work from Anywhere) Payout: Competitive, based on experience Role Overview: This role focuses on evaluating healthcare AI solutions for accuracy, compliance, and real-world applicability. The position requires deep domain expertise in healthcare systems, clinical workflows, and regulatory standards to validate and refine AI models before deployment. This work directly impacts patient safety, operational efficiency, and the reliability of healthcare technologies. Key Responsibilities: • Review and assess healthcare AI models for clinical…
Job details
Role: Healthcare Specialist (Remote) Location: Remote (Work from Anywhere) Payout: Competitive, based on experience Role Overview: This role focuses on evaluating healthcare AI solutions for accuracy, compliance, and real-world applicability. The position requires deep domain expertise in healthcare systems, clinical workflows, and regulatory standards to validate and refine AI models before deployment. This work directly impacts patient safety, operational efficiency, and the reliability of healthcare technologies. Key Responsibilities: • Review and assess healthcare AI models for clinical relevance, data integrity, and adherence to medical standards. • Validate outputs against established healthcare guidelines and industry benchmarks to ensure accuracy. • Collaborate with cross-functional teams to identify gaps in model performance and recommend improvements. • Provide detailed feedback on model limitations, edge cases, and potential biases in healthcare applications. • Document evaluation findings and contribute to reports that inform model refinement and regulatory submissions. Required Skills & Qualifications: • Minimum 3 years of direct experience in healthcare systems, clinical operations, or health informatics. • Familiarity with healthcare regulations, including HIPAA, FDA guidelines for medical AI, or equivalent standards. • Ability to interpret clinical datasets, medical terminologies (e.g., ICD-10, SNOMED CT), and AI model outputs. • Strong analytical skills with experience evaluating AI models in healthcare or adjacent domains. • Excellent written and verbal communication skills to articulate technical feedback to non-technical stakeholders. More About the Opportunity: This role supports the development of AI solutions deployed in real-world healthcare settings, contributing to improved diagnostics, treatment recommendations, or operational efficiencies. The work involves shaping the reliability and safety of AI tools used by providers, payers, or patients globally. Apply Now!
What you’ll do
The Healthcare Specialist will review and assess healthcare AI models for clinical relevance and compliance with medical standards. They will collaborate with teams to identify performance gaps and document evaluation findings for model refinement.
Requirements
Candidates must have a minimum of 3 years of experience in healthcare systems or clinical operations and familiarity with healthcare regulations. Strong analytical and communication skills are essential for interpreting clinical datasets and providing feedback.
Listed skills
- Clinical Operations · Preferred
- Analytical · Preferred
- Technical · Preferred
- Operational Efficiency · Preferred
- Reliability · Preferred
- Teams · Preferred
- Compliance · Preferred
- safety · Preferred
- Communication · Preferred
- Accuracy · Preferred
- Communication Skills · Preferred
- efficiency · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Healthcare Systems
- Clinical Workflows
- Regulatory Standards
- Data Integrity
- Healthcare Guidelines
- Model Evaluation
- Analytical Skills
- Communication Skills
- Clinical Datasets
- Medical Terminologies
- AI Model Outputs
- Cross-Functional Collaboration
- Feedback Documentation
- Bias Identification
- Model Refinement
- Compliance
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