Medical Oncologist

Frontier AI Lab; United States; À distance; USD 220 000 - 248 000; Temps partiel

Résumé du poste

Remotebridge is seeking experienced Medical Oncologists for a remote, part-time contractor role in the United States. You will review AI-generated notes from outpatient oncology visits, ensuring clinical accuracy and completeness while identifying gaps in cancer diagnoses, staging, and treatment plans.

You will assess documentation of systemic therapies and follow-up care, and provide actionable feedback to improve AI-driven notes and EHR entries.

Qualifications

• MD/DO or equivalent medical degree; board certification or eligibility in Medical Oncology.
• At least 2 years of outpatient medical oncology experience after fellowship.
• Strong clinical experience diagnosing and managing solid tumors, including treatment planning and longitudinal patient care.

Responsabilités

• Review AI-generated transcripts of outpatient oncology visits for clinical accuracy, completeness, and clarity.
• Evaluate clinical documentation, including History of Present Illness, interval histories, and Assessment and Plans.
• Identify inaccuracies or missing details related to cancer diagnoses, staging, treatment plans, and 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

Outpatient Oncology Experience

Medical Documentation

Clinical Reasoning

Formation

MD/DO or equivalent

Board-certified or eligible in Medical Oncology

Description du poste

Role type: Contractor

Location: Remote, United States only

Commitment: Part-time, project-based

Compensation: $160–$180 USD per hour

About the role

Our team is looking for experienced Medical Oncologists to support a customer project focused on improving AI-generated clinical 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.

About Our team

Our team is a data lab that connects professionals with opportunities to apply their expertise to customer projects. We work with specialists across fields such as engineering, finance, healthcare, and law to support AI labs and enterprises. Through our extended network, contributors bring their knowledge and judgment to projects with their own scope, requirements, and engagement terms.