Computational Chemistry, Structural Biology & Drug Discovery Sci

AuraOne; United States; Remote; USD 103,000 - 152,000; Part time

Job summary

AuraOne is seeking a Computational Chemistry, Structural Biology & Drug Discovery Scientist (PhD) for remote clinical-review work evaluating AI outputs that touch clinical review. Reviewers assess 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.

The role supports remote work for US-eligible contractors; you will participate in structured rubrics, with emphasis on safety

Qualifications

• Active license or board certification in clinical review or adjacent specialty.
• Hands-on clinical experience reading patient cases and writing structured assessments.
• Comfort applying multi-page rubrics consistently across long batches.
• Clear written reasoning citing guidelines, evidence, or standard of care.
• Reliable async availability for at least 10 hours per week.

Responsibilities

• Review AI outputs against current clinical review guidelines and standard of care for computational chemistry and drug discovery assignments.
• Grade differential reasoning, dosing logic, and red-flag handling on a structured rubric.
• Flag patient-safety issues with severity tags matching clinical-incident taxonomies.
• Capture 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

Active license / board certification in clinical review

Job description

Category: Medical & Clinical AI · Pay: $75–$110 / hr · Location: Remote — US-eligible · Contractor

Computational Chemistry, Structural Biology & Drug Discovery Scientist (PhD) 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.

Why this role matters

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.

Responsibilities

• Review AI outputs against current clinical review clinical guidelines and standard of care for Computational Chemistry, Structural Biology & Drug Discovery Scientist (PhD) 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.

Qualifications

• Active or recent license / board certification in clinical review or an adjacent specialty for Computational Chemistry, Structural Biology & Drug Discovery Scientist (PhD) 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.

Example tasks

• Grade a model's differential-diagnosis reasoning on a clinical review case and write a 2-3 sentence assessment.
• Flag a dosing miscalculation with the right severity tag and corrected dose.
• Adjudicate a disputed case between two reviewers using current specialty guidelines.
• Audit a 25-case batch for rubric consistency and report drift to the program lead.

Nice to have

• Prior work as a guideline reviewer, peer reviewer, or clinical educator.
• Familiarity with AI-assisted clinical decision support and its failure modes.
• Bilingual clinical experience for non-English patient cases.

Skills

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

Work model

Remote — US-eligible. Remote · Independent specialist contractor. Employment type: CONTRACTOR. Applicants must be authorized to work from US.

Compensation

Hourly rate confirmed after the interview process.