Remote Oncology & Hematology Clinician Advisor

YO AI Labs; Atlanta (GA); On-site; USD 120,000 - 180,000; Full time

Job summary

YO AI Labs is seeking an experienced Oncology and Hematology Clinician 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. This is a contractor position with remote work.

No prior AI experience is required; the role focuses on delivering evidence-based assessments and contributing to model training through high-quality medical evaluations.

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, ELN.
• Provide clear, evidence-based clinical assessments and feedback.
• Support AI model training through high-quality medical evaluations.

Skills

Clinical Oncology

Hematology

Clinical Trial Evaluation

CTCAE Grading

RECIST Criteria

Lugano Criteria

IMWG Criteria

IWCLL Criteria

ELN Criteria

Endpoint Analysis

Dose Escalation

Adverse Event Assessment

Education

Board-certified Medical Oncologist and/or Hematologist

Job description

YO AI Labs is seeking an experienced Oncology and Hematology Clinician 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. This is a contractor position with remote work.

No prior AI experience is required; the role focuses on delivering evidence-based assessments and contributing to model training through high-quality medical evaluations.