Medical Oncologist

What You'll Do6

• Check AI-generated transcripts of outpatient oncology visits for accurate clinical details, complete content, and clear wording.
• Review documentation of HPIs, interval histories, and Assessment and Plans.
• Flag incorrect or missing information about cancer diagnoses, staging, treatment plans, and lab or imaging results.
• Assess notes on systemic cancer therapies, including chemotherapy, immunotherapy, targeted treatments, and supportive care.
• Check how notes describe treatment response, adverse effects, disease progression, and follow-up care.
• Give clear, actionable feedback to improve AI-generated notes and EHR documentation.

Requirements7

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

Preferred Qualifications2

• Experience with 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.

Who Should Apply

Medical Oncologists with at least 2 years of post-fellowship outpatient experience and strong solid tumor management skills may be a fit. Applicants must be based in the United States and comfortable assessing oncology notes and providing written feedback.

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