Software Engineer - Open Source Contributions - Remote
Budget / Salary$50–180
TypeContract
LocationUnited States
Posted4 hours ago
Medical Oncologist
Role Type: Contractor
About the Role
We are seeking experienced Medical Oncologists to evaluate AI-generated clinical transcripts and medical notes, helping improve the accuracy and quality of outpatient oncology documentation.
Key Responsibilities
Review AI-generated oncology transcripts and clinical notes.
Evaluate HPIs, interval histories, and Assessment and Plans.
Identify inaccuracies related to cancer diagnoses, staging, treatment plans, and laboratory or imaging findings.
Assess documentation of chemotherapy, immunotherapy, targeted therapies, and supportive care.
Review treatment responses, adverse effects, disease progression, and follow-up plans.
Provide actionable feedback to improve AI-generated clinical notes and EHR documentation.
Required Qualifications
MD, DO, or equivalent medical degree.
Board-certified or board-eligible in Medical Oncology.
At least 2 years of recent outpatient medical oncology experience following fellowship.
Strong experience diagnosing and managing solid tumors and developing treatment plans.
Knowledge of systemic cancer therapies, treatment toxicities, and supportive care.
Ability to independently document clinical histories and treatment plans.
Excellent written communication skills and attention to detail.
Must be based in the United States.
Preferred Qualifications
Experience managing diverse solid tumors and complex oncology cases.
Familiarity with AI scribe tools, EHR systems, medical chart reviews, or clinical annotation projects.
Application Process
Candidates will complete an AI interview to assess their clinical expertise and experience.
Originally posted on Himalayas
Role Type: Contractor
About the Role
We are seeking experienced Medical Oncologists to evaluate AI-generated clinical transcripts and medical notes, helping improve the accuracy and quality of outpatient oncology documentation.
Key Responsibilities
Review AI-generated oncology transcripts and clinical notes.
Evaluate HPIs, interval histories, and Assessment and Plans.
Identify inaccuracies related to cancer diagnoses, staging, treatment plans, and laboratory or imaging findings.
Assess documentation of chemotherapy, immunotherapy, targeted therapies, and supportive care.
Review treatment responses, adverse effects, disease progression, and follow-up plans.
Provide actionable feedback to improve AI-generated clinical notes and EHR documentation.
Required Qualifications
MD, DO, or equivalent medical degree.
Board-certified or board-eligible in Medical Oncology.
At least 2 years of recent outpatient medical oncology experience following fellowship.
Strong experience diagnosing and managing solid tumors and developing treatment plans.
Knowledge of systemic cancer therapies, treatment toxicities, and supportive care.
Ability to independently document clinical histories and treatment plans.
Excellent written communication skills and attention to detail.
Must be based in the United States.
Preferred Qualifications
Experience managing diverse solid tumors and complex oncology cases.
Familiarity with AI scribe tools, EHR systems, medical chart reviews, or clinical annotation projects.
Application Process
Candidates will complete an AI interview to assess their clinical expertise and experience.
Originally posted on Himalayas
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