Member of Technical Staff, Medical Research.

Member of Technical Staff, Medical Research is a remote clinical-review track for evaluating AI outputs that touch clinical review. Reviewers grade differential reasoning, dosing logic, and guideline adherence; flag patient-safety issues; and document the corrected clinical reasoning so the modeling team can close the gap.

Clinical review AI is only useful if a credentialed clinician would sign their name to the output. AuraOne uses licensed and credentialed reviewers to set the bar for clinical reasoning, dosing, and guideline adherence in regulated workflows.

Clinical, medical, life-science, and healthcare specialist roles guiding AI accuracy in regulated domains.

• ↳Review AI outputs against current clinical review clinical guidelines and standard of care for Member of Technical Staff, Medical Research assignments.
• ↳Grade differential reasoning, dosing, and red-flag handling on a structured rubric.
• ↳Flag patient-safety issues with severity tags that match clinical-incident taxonomies.
• ↳Capture the corrected clinical reasoning so the modeling team can train on it.
• ↳Adjudicate disputed cases against published evidence or specialty guidelines.
• ↳Maintain reviewer-quality scores in weekly inter-rater calibration cycles.

• ↳Active or recent license / board certification in clinical review or an adjacent specialty for Member of Technical Staff, Medical Research work.
• ↳Hands-on clinical experience reading patient cases and writing structured assessments.
• ↳Comfort applying multi-page rubrics consistently across long batches.
• ↳Clear written reasoning that cites guidelines, evidence, or standard of care.
• ↳Reliable async availability for at least 10 hours per week.

Hourly rate confirmed after the interview process.

Expected schedule: contractor, remote specialist work with program-defined task volume and review pacing.

• Clinical reasoning
• Guideline review
• Patient-safety assessment
• Structured clinical writing
• Clinical review
• Healthcare

AuraOne uses a shared specialist intake to confirm track fit, review readiness, and the best queue for your profile. Applications submitted from partner job boards carry the source, role, and category on the apply URL.