Remote Clinical Review Scientist (PhD) – AI Evaluation

AuraOne, Inc.; United States; On-site; USD 83,000 - 131,000; Full time

Benefits offered by this job

Remote work

Job summary

AuraOne, Inc. is seeking a Computational Chemistry & Drug Discovery Scientist (PhD) — AI Evaluation for a remote clinical-review track.

Review AI outputs that touch clinical review, 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. Responsibilities include rating model outputs against current guidelines, adjudicating cases with evidence, and maintaining weekly

Qualifications

• Active or recent clinical license or board certification required.
• Experience reading patient cases and writing structured assessments.
• Ability apply multi-page rubrics consistently across long batches.
• Clear written reasoning citing guidelines, evidence, or standard of care.
• Available remotely for at least 10 hours per week.

Responsibilities

• Review AI outputs against current clinical guidelines and standard of care for Computational Chemistry & Drug Discovery Scientist (PhD) — AI Evaluation 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.

Skills

Clinical reasoning

Guideline review

Patient-safety assessment

Structured clinical writing

Clinical review

Education

Medical license

Board certification

Job description

AuraOne, Inc. is seeking a Computational Chemistry & Drug Discovery Scientist (PhD) — AI Evaluation for a remote clinical-review track.

Review AI outputs that touch clinical review, 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. Responsibilities include rating model outputs against current guidelines, adjudicating cases with evidence, and maintaining weekly