Hematology/Oncology Physician - Remote

Location: Remote – United States
Employment Type: Independent Contractor
Compensation: $192,000–$345,600/year equivalent
Hourly Rate: $100–$180/hour

Annualized compensation is an illustrative equivalent based on 40 hours/week × 48 weeks/year. Actual earnings depend on hours worked, project availability, and approved work.

About the Role

We are seeking experienced Hematology/Oncology Physicians with recent outpatient clinical practice following fellowship to support a healthcare AI training and evaluation project.

In this remote contract role, you will review and annotate AI-generated transcripts of outpatient hematology and oncology consultations, assess the accuracy of AI-generated clinical documentation, and provide expert feedback on clinical reasoning, treatment decisions, and patient interactions.

Your specialist knowledge will help improve how AI systems capture and interpret complex oncology and hematology encounters, particularly follow-up visits, chemotherapy management, treatment toxicities, and longitudinal patient care.

Key Responsibilities

• Review and annotate AI-generated transcripts of outpatient hematology/oncology consultations for clinical accuracy, completeness, and clarity.

• Evaluate AI-generated History of Present Illness (HPI), interval histories, and Assessment and Plan (A&P) documentation.

• Determine whether generated notes accurately capture relevant patient information, clinical findings, and treatment decisions.

• Assess documentation of chemotherapy cycles, treatment responses, adverse effects, and toxicity management.

• Review how laboratory results, clinical findings, and treatment considerations are represented in generated documentation.

• Evaluate whether AI-generated transcripts reflect real-world clinical reasoning and patient-provider interactions, particularly during follow-up visits.

• Provide detailed feedback to improve AI scribe outputs and electronic health record (EHR) note templates.

• Identify missing, inaccurate, or poorly represented clinical information and recommend appropriate improvements.

Required Qualifications

• MD, DO, or equivalent medical qualification.

• Board certification or eligibility in Hematology and/or Oncology.

• At least 2 years of recent outpatient clinical experience following fellowship.

• Experience managing outpatient hematology/oncology follow-up visits, chemotherapy treatment, and longitudinal patient care.

• Demonstrated ability to independently prepare accurate HPIs, interval histories, and Assessment and Plans.

• Comprehensive understanding of chemotherapy treatment cycles, treatment-related toxicities, and side-effect management.

• Strong ability to interpret laboratory results and incorporate relevant findings into clinical documentation.

• Excellent clinical judgment and written communication skills.

Preferred Qualifications

• Experience with ambient AI medical scribe solutions.

• Familiarity with EHR documentation systems and outpatient oncology note templates.

• Previous experience in medical chart review, clinical annotation, or healthcare AI evaluation.

• Strong understanding of outpatient hematology/oncology workflows and patient-centered clinical communication.

Core Skills

Hematology • Medical Oncology • Outpatient Oncology • Clinical Documentation • History of Present Illness (HPI) • Assessment and Plan (A&P) • Chemotherapy Management • Chemotherapy Cycles • Treatment Toxicity • Laboratory Interpretation • Patient Follow-Up • Clinical Reasoning • EHR Documentation • AI Medical Scribe Evaluation

Why This Opportunity?

Apply your specialist expertise to the development of advanced healthcare AI systems. Your clinical insight will help improve the accuracy of AI-generated medical transcripts, strengthen oncology documentation, and ensure that complex treatment decisions and patient interactions are represented appropriately.

This opportunity is particularly suited to board-certified or board-eligible hematology and oncology physicians with recent outpatient practice who are interested in contributing to the future of clinical documentation and healthcare AI.