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Oncologist

Also known as: Cancer Physician, Medical Oncologist, Hematology-Oncology Specialist, Cancer Specialist

AI Impact Score

35/100

Oncology is at the forefront of AI adoption in medicine — genomic analysis, radiology interpretation, and treatment matching are areas where AI is demonstrably improving accuracy. However, the complex treatment decisions integrating genomics, patient values, toxicity tolerance, and clinical context, and the profound patient relationships during life-threatening illness, remain irreplaceable.

$280k – $550k

Salary Range

growing

Growth Outlook

20,000

Total Jobs (US)

+10%

Growth Rate

Task Breakdown

Tasks at Risk (3)

Routine pathology and imaging report review for standard presentationsStandard chemotherapy order entry and toxicity documentationFormulaic patient education for common regimens

AI-Enhanced Tasks (4)

AI-assisted genomic variant interpretation and targeted therapy matchingDeep learning radiology for tumor measurement, staging, and response assessmentMachine learning treatment toxicity prediction and supportive care optimizationAI clinical trial matching for patients who may benefit from trials

Human-Safe Tasks (5)

Complex multidisciplinary treatment planning integrating genomics, patient factors, and goals of careGoals of care and prognosis conversations with patients and familiesImmunotherapy toxicity management requiring experienced clinical judgmentEnd-of-life care and palliative transition planningTherapeutic relationship with patients facing life-threatening illness

Current Skills

Oncology Treatment Planning (chemotherapy, targeted therapy, immunotherapy)Staging and Response AssessmentToxicity Management and Supportive CareGenomic Report InterpretationGoals of Care and Palliative Integration

Future-Proof Skills

AI-Assisted Genomic and Molecular Tumor BoardLiquid Biopsy Interpretation (ctDNA, cfDNA)CAR-T Cell Therapy ManagementAI Clinical Trial Matching PlatformsDigital Symptom Monitoring for Toxicity Management