Medical Oncologist, Remote- Contract Remote (United States)

Dover; United States; À distance; USD 165 000 - 262 000; Temps partiel

Résumé du poste

Dover is seeking a Medical Oncologist for a remote, part-time contract role in the United States. You will review AI-generated transcripts and clinical notes from outpatient oncology encounters, ensuring accuracy and relevance of HPIs, A&Ps, and cancer-related details.

Responsibilities include evaluating documentation of cancer therapies, disease status, and follow-up plans, and providing actionable feedback to improve AI-assisted notes and EHR accuracy.

Qualifications

• MD, DO, or equivalent with board certification/eligibility in Medical Oncology.
• At least 2 years of outpatient medical oncology experience after fellowship.
• Experience diagnosing and managing solid tumors with treatment planning.
• Ability to independently document HPIs, interval histories, and A&Ps.
• Solid understanding of systemic cancer therapies, toxicities, and labs/imaging interpretation.
• Strong written communication and attention to clinical detail.
• Based in the United States.

Responsabilités

• 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.

Connaissances

Medical oncology

Clinical documentation

EHR systems

AI note review

Solid tumors

Description du poste

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.