Medical Oncologist - AI Documentation Reviewer

Micro1; United States; Remote; USD 207,000 - 344,000; Full time

Job summary

micro1 is seeking experienced Medical Oncologists to support a customer project focused on AI-generated clinical documentation.

You will evaluate AI-generated transcripts and notes from outpatient oncology encounters, providing actionable feedback to improve accuracy, completeness, and clinical relevance of AI-assisted documentation.

Strong written communication, solid knowledge of systemic cancer therapies, and US residency are preferred.

Qualifications

• MD/DO or equivalent medical degree with oncology board certification or eligibility.
• At least 2 years of outpatient medical oncology experience after fellowship.
• Strong clinical experience diagnosing and managing solid tumors.
• Proven ability to independently document HPIs, interval histories, and A&Ps.
• Familiarity with interpreting labs and imaging results.
• Based in the United States.

Responsibilities

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

Skills

Board certification

Outpatient oncology

Clinical documentation

HPI documentation

Education

MD/DO or equivalent medical degree

Tools

AI scribe familiarity

EHR templates

Job description

micro1 is seeking experienced Medical Oncologists to support a customer project focused on AI-generated clinical documentation.

You will evaluate AI-generated transcripts and notes from outpatient oncology encounters, providing actionable feedback to improve accuracy, completeness, and clinical relevance of AI-assisted documentation.

Strong written communication, solid knowledge of systemic cancer therapies, and US residency are preferred.