Remote Oncology & Hematology Clinical Expert

YO AI Labs; San Francisco (CA); Remote; USD 138,000 - 276,000; Part time

Job summary

YO AI Labs seeks experienced clinicians specializing in Oncology and Hematology for a remote contractor role. You will evaluate clinical content, review trial data, and provide expert medical judgments to improve AI systems. No AI background required—clinical expertise is the focus.

Responsibilities include reviewing regulatory documents, assessing endpoints, and delivering structured clinical reasoning to support AI model training and medical accuracy.

Qualifications

• Experience in oncology and hematology clinical evaluation.
• Ability to assess trial data, endpoints, and efficacy/safety conclusions.
• Familiarity with adverse event grading and attribution.
• Knowledge of CTCAE, RECIST, Lugano, IMWG, IWCLL, and ELN criteria.

Responsibilities

• Author and review clinical evaluation tasks requiring advanced oncology and hematology expertise.
• Analyze clinical study reports, safety reports, regulatory documents, and trial materials to assess medical accuracy.
• Evaluate the clinical relevance of efficacy and safety conclusions, including endpoints and treatment outcomes.
• Assess dose escalation strategies, dose-limiting toxicities, adverse event grading, attribution, and patient safety narratives.
• Review benefit-risk assessments and identify clinically inconsistent, inaccurate, or implausible interpretations.
• Provide structured, guideline-based written explanations of clinical reasoning and findings.
• Support AI model training by delivering high-quality clinical evaluations and expert feedback.

Skills

Clinical Oncology

Clinical Hematology

Clinical Trial Evaluation

CTCAE Grading

RECIST

Lugano Criteria

IMWG Criteria

IWCLL Criteria

ELN Criteria

Outcome Endpoint Analysis

Dose Escalation Assessment

Adverse Event Grading & Attribution

Job description

YO AI Labs seeks experienced clinicians specializing in Oncology and Hematology for a remote contractor role. You will evaluate clinical content, review trial data, and provide expert medical judgments to improve AI systems. No AI background required—clinical expertise is the focus.

Responsibilities include reviewing regulatory documents, assessing endpoints, and delivering structured clinical reasoning to support AI model training and medical accuracy.