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Oncology Abstractor Jobs (NOW HIRING)

Data Partnerships

Manhattan, NY · On-site

$90 - $150/hr

Our advisors include AI pioneers such as our founding advisor, Yann LeCun, and distinguished oncologists from top cancer research institutions, all united by the mission to redefine precision ...

Data Partnerships

New York, NY · On-site

$70K - $115K/yr

Our advisors include AI pioneers such as our founding advisor, Yann LeCun, and distinguished oncologists from top cancer research institutions, all united by the mission to redefine precision ...

Showing results 41-45

Oncology Abstractor information

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$57

$110

How much do oncology abstractor jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for 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.

What is an oncology abstractor?

An Oncology Abstractor is a healthcare professional responsible for reviewing and extracting critical cancer-related data from medical records. They ensure accurate and complete documentation of diagnoses, treatments, and outcomes for cancer registries, research studies, and regulatory reporting. Their work supports cancer programs, contributes to public health initiatives, and helps improve patient care. Strong attention to detail and knowledge of medical terminology, coding systems, and oncology guidelines are essential for this role.

How to become an oncology abstractor?

To become an oncology abstractor, candidates typically need a background in healthcare, such as a nursing or medical coding certification, along with experience in medical record review and data abstraction. Familiarity with oncology terminology, electronic health records, and attention to detail are essential. Some employers may require certification in medical coding or oncology-specific training.

What does an oncology abstractor do?

As an Oncology Abstractor, your typical workday involves reviewing patient medical records, extracting detailed cancer-related data, and entering it into cancer registry databases. You’ll often collaborate with physicians, pathologists, and registry supervisors to clarify clinical details or resolve discrepancies. The role usually requires independent, focused work—either onsite at a healthcare facility or remotely—while meeting strict accuracy and deadline requirements. Additionally, you may participate in quality assurance meetings and continuing education to stay current with evolving standards in oncology data abstraction.

What are the key skills and qualifications needed to thrive in the oncology abstractor position, and why are they important?

To thrive as an Oncology Abstractor, you need a strong knowledge of medical terminology and cancer pathology, often supported by experience in health information management or clinical data abstraction. Familiarity with cancer registry software (such as SEER*DMS or OncoLog), ICD/O coding, and certified tumor registrar (CTR) credentials are commonly required. Attention to detail, analytical thinking, and effective written communication are key soft skills for accurately translating complex medical records into clear, usable data. Mastery of these competencies ensures high-quality data collection, essential for research, quality improvement, and compliance in oncology programs.

What cities are hiring for Oncology Abstractor jobs? Cities with the most Oncology Abstractor job openings:
What are the most commonly searched types of Oncology Abstractor jobs? The most popular types of Oncology Abstractor jobs are:
What states have the most Oncology Abstractor jobs? States with the most job openings for Oncology Abstractor jobs include:
Infographic showing various Oncology Abstractor job openings in the United States as of August 2026, with employment types broken down into 72% Full Time, 21% Part Time, and 7% Contract. Highlights an 71% In-person, and 29% Remote job distribution, with an average salary of $119,030 per year, or $57.2 per hour.

Data Partnerships

Ataraxis AI

Manhattan, NY • On-site

$90 - $150/hr

Other

Posted 14 days ago


Job description

About Ataraxis AI

Ataraxis is a clinical AI research lab working at the intersection of multi-modal AI and precision medicine. Our goal is to make disease predictable. To accomplish this, we develop new AI methods that predict patient outcomes and treatment response, and build clinical tools to assist physicians in selecting the most optimal treatments for their patients.

Our AI research lab discovers and develops methods to recognize patterns and predict outcomes across complex, multi-modal clinical data. This spans our causality, foundation model (Falcon and Kestrel for digital pathology), and survival analysis research.

Our first clinical products, such as Ataraxis™ Breast for breast cancer, already help patients get the most appropriate treatment across the best academic institutions and community clinics worldwide.

At Ataraxis, you will have a unique opportunity to shape not only the future of our company, but also the future of healthcare. You will join an exceptional team at the forefront of clinical AI research and deployment. Our advisors include AI pioneers such as our founding advisor, Yann LeCun, and distinguished oncologists from top cancer research institutions, all united by the mission to redefine precision medicine.

Ataraxis has raised over $24 million in funding, including a $20 million Series A led by top venture capital funds such as Thiel Capital/Founders Fund (OpenAI, SpaceX, Palantir), Obvious Ventures (AMI Labs, Inceptive, Radical Numerics, Recursion), and AIX Ventures (Hugging Face, Perplexity).

We are an company with a flat organizational structure, where every team member is empowered to actively contribute. Leadership roles are earned by those who demonstrate initiative and consistently deliver exceptional results. Strong work ethic and the ability to prioritize ruthlessly are essential.

Responsibilities
  • Identify and engage researchers and institutions for potential data access and research collaborations

  • Lead initial conversations to explain project scope and assess partnership fit

  • Translate collaboration discussions into clear data requirements and specifications

  • Draft partnership materials (summaries, proposals, early agreement language) for internal and legal review

  • Track outreach and partnership status, and manage timely follow-up through to execution

Qualifications
  • Preferred: PhD or Master's degree in a scientific, clinical, or other relevant discipline

  • Exceptional spoken and written English communication skills

  • Strong organizational skills and comfort managing many parallel relationships and deadlines without things slipping

  • Experience or familiarity with clinical/research data (clinical trials, biobanks, pathology, or similar) is a strong plus

  • Comfort drafting business documents (one-pagers, basic contract language) — prior experience with data use agreements, MTAs, or research collaboration agreements is a bonus

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