Remote Oncology & Hematology Clinician for AI Review

YO AI Labs; Miami (FL); Remote; USD 165,000 - 248,000; Part time

Job summary

YO AI Labs is seeking experienced Oncology and Hematology Clinicians to support an innovative AI healthcare project. You will review clinical content, evaluate trial data, and provide expert medical insights to help improve AI systems. Remote contractor role with focus on high-quality medical evaluations.

Responsibilities include reviewing oncology/hematology documents, applying RECIST/Lugano/IMWG/IWCLL/ELN criteria, and supporting AI model training with evidence-based assessments.

Qualifications

• Board-certified Medical Oncologist and/or Hematologist.
• 5+ years of post-training clinical experience.
• Experience in clinical trials, medical monitoring, or clinical development.
• Strong knowledge of oncology/hematology trial documentation and response criteria.
• Excellent written communication skills.
• Publications and AI-assisted clinical review experience are a plus

Responsibilities

• Review and evaluate oncology/hematology clinical documents and trial data.
• Assess treatment outcomes, safety reports, adverse events, and dose escalation strategies.
• Apply clinical response criteria such as RECIST, Lugano, IMWG, IWCLL, and ELN.
• Provide clear, evidence-based clinical assessments and feedback.
• Support AI model training through high-quality medical evaluations.

Skills

Clinical Oncology

Clinical Hematology

Clinical Trial Evaluation

CTCAE Grading

RECIST

Lugano Criteria

IMWG

IWCLL

ELN Criteria

Endpoint Analysis

Dose Escalation

Adverse Event Assessment

Job description

YO AI Labs is seeking experienced Oncology and Hematology Clinicians to support an innovative AI healthcare project. You will review clinical content, evaluate trial data, and provide expert medical insights to help improve AI systems. Remote contractor role with focus on high-quality medical evaluations.

Responsibilities include reviewing oncology/hematology documents, applying RECIST/Lugano/IMWG/IWCLL/ELN criteria, and supporting AI model training with evidence-based assessments.