Job Description

Role Title: Medical Oncologist

Role type: Contract

Location: Remote, United States only

Commitment: Part-time, project-based

Required Skills:

• Medical oncology
• Clinical documentation
• Ehr systems
• Ai-generated clinical note review
• Solid tumor management

About the role: In this role, you'll use your clinical expertise to evaluate AI-generated transcripts and medical notes from outpatient oncology encounters. Your feedback will help improve the accuracy, completeness, and clinical relevance of AI-assisted documentation.

What you'll do:

• Review AI-generated transcripts of outpatient oncology visits for clinical accuracy, completeness, and clarity.
• Evaluate clinical documentation, including History of Present Illness (HPI), interval histories, and Assessment and Plans (A&Ps).
• Identify inaccuracies or missing details related to cancer diagnoses, staging, treatment plans, and laboratory or imaging findings.
• Assess documentation of systemic cancer therapies, including chemotherapy, immunotherapy, targeted therapies, and supportive care.
• Review how clinical notes capture treatment responses, adverse effects, disease progression, and follow-up care.
• Provide clear, actionable feedback to improve AI-generated clinical notes and EHR documentation.

Required qualifications:

• MD, DO, or equivalent medical degree, with board certification or eligibility in Medical Oncology.
• At least 2 years of recent outpatient medical oncology experience following fellowship.
• Strong clinical experience diagnosing and managing solid tumors, including treatment planning and longitudinal patient care.
• Proven ability to independently document HPIs, interval histories, and Assessment and Plans.
• Solid understanding of systemic cancer therapies, treatment-related toxicities, supportive care, and interpretation of laboratory and imaging results.
• Strong written communication skills and attention to clinical detail.
• Based in the United States.

Preferred qualifications:

• Experience managing a broad range of solid tumors and complex oncology cases.
• Familiarity with AI scribe technology, EHR documentation templates, medical chart review, or clinical annotation projects.

Application process:

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