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