Entry Level Remote Oncology Abstractor information
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$24.04 - $31.86
11% of jobs
$37.96 is the 25th percentile. Wages below this are outliers.
$31.86 - $39.69
18% of jobs
$39.69 - $47.51
19% of jobs
The median wage is $48.20 / hr.
$47.51 - $55.33
18% of jobs
$60.84 is the 75th percentile. Wages above this are outliers.
$55.33 - $63.16
12% of jobs
$63.16 - $70.98
12% of jobs
$70.98 - $78.80
6% of jobs
$78.80 - $86.63
3% of jobs
$86.63 - $94.45
0% of jobs
$94.45 - $102.27
0% of jobs
$102.27 - $110.10
0% of jobs
How much do entry level remote oncology abstractor jobs pay per hour?
As of Aug 28, 2026, the average hourly pay for entry level remote oncology abstractor in the United States is $57.23, according to ZipRecruiter salary data. Most workers in this role earn between $38.46 and $64.42 per hour, depending on experience, location, and employer.
An Entry Level Remote Oncology Abstractor is a professional who reviews and extracts key medical information from cancer patient records, working from a remote location. They typically gather data such as diagnosis, treatment, and outcomes, which is then used for cancer registries, research, and to improve patient care. This role usually requires strong attention to detail, familiarity with medical terminology, and often a background in healthcare or medical records. Training is usually provided for entry-level positions, and knowledge of oncology coding or cancer registry software can be beneficial.
To thrive as an Entry Level Remote Oncology Abstractor, you need a foundational knowledge of medical terminology, cancer registry principles, and attention to detail, usually supported by a degree in health information management or a related field. Familiarity with cancer registry software (such as Abstract Plus or SEER*DMS) and pursuing or holding a Certified Tumor Registrar (CTR) credential are common requirements. Strong analytical thinking, self-motivation, and clear written communication are valuable soft skills for success in a remote, data-intensive environment. These skills and qualifications are crucial for ensuring the accurate abstraction and reporting of oncology data, which supports cancer research, treatment planning, and regulatory compliance.
Entry level remote oncology abstractors often encounter challenges such as interpreting complex medical records, maintaining accuracy with cancer staging and coding, and managing productivity expectations while working independently. To overcome these, it is helpful to participate in ongoing training, utilize available resources such as coding manuals and team forums, and seek feedback from more experienced abstractors or supervisors. Building a strong support network and staying organized can also help maintain accuracy and efficiency in this highly detail-oriented role.
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