Medical Oncologist - Remote

Medical Oncologist - Remote

Job Type: Part-Time Contract
Location: Remote – United States Only
Openings: 50
Compensation: $332,800–$374,400 annually ($160–$180/hour)

About the Role

We are seeking experienced Medical Oncologists to help improve the accuracy and quality of AI-generated clinical documentation.

You will review AI-generated transcripts and medical notes from outpatient oncology encounters, applying your clinical expertise to identify inaccuracies, missing information, and documentation gaps.

Key Responsibilities

• Review AI-generated transcripts and oncology notes for clinical accuracy, completeness, and clarity.

• Evaluate History of Present Illness (HPI), interval histories, and Assessment and Plans (A&Ps).

• Identify errors or omissions involving cancer diagnoses, staging, treatment plans, laboratory results, and imaging findings.

• Assess documentation of chemotherapy, immunotherapy, targeted therapies, supportive care, and treatment-related adverse effects.

• Evaluate how notes capture treatment responses, disease progression, and follow-up plans.

• Provide actionable feedback to improve AI-generated clinical notes and EHR documentation.

Required Qualifications

• MD, DO, or equivalent medical degree.

• Board-certified or board-eligible in Medical Oncology.

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

• Strong experience diagnosing and managing solid tumors, treatment planning, and longitudinal patient care.

• Proficiency in clinical documentation, including HPIs and Assessment and Plans.

• Knowledge of systemic cancer therapies, treatment toxicities, supportive care, and interpretation of laboratory and imaging results.

• Excellent written communication and attention to clinical detail.

• Must be based in the United States.

Preferred Qualifications

• Experience managing diverse solid tumors and complex oncology cases.

• Familiarity with AI medical scribe technology, EHR systems, clinical chart reviews, or clinical annotation projects.

Application Process

Candidates will complete an AI-powered interview to assess their clinical expertise and relevant experience.

Apply Now