Software Engineer - Open Source Contributions - Remote
Required skills
- MD
- DO
- Medical Oncology
- outpatient medical oncology
- solid tumors
- systemic cancer therapies
- treatment toxicities
- supportive care
- clinical histories
- treatment plans
Nice to have
- diverse solid tumors
- complex oncology cases
- AI scribe tools
- EHR systems
- medical chart reviews
- clinical annotation projects
Role summary
Seeking experienced Medical Oncologists to review AI-generated clinical transcripts and medical notes for outpatient oncology documentation. Responsibilities include evaluating HPIs, interval histories, Assessment and Plans, and identifying inaccuracies in diagnoses, staging, treatment plans, and lab/imaging findings. The role involves assessing documentation of various cancer therapies and providing feedback to enhance AI accuracy. Requires an MD/DO, board certification/eligibility in Medical Oncology, and at least 2 years of recent outpatient oncology experience. Familiarity with AI scribe tools, EHR systems, or clinical annotation projects is preferred.
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
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