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Oncology Data Analytics Jobs (NOW HIRING)

Analytics: deliver analytic applications & services that generate insight on how to measurably ... Oncology Data Specialist Certified (ODS-C) Team: Data Abstraction Location: Remote Travel: N/A Who ...

Oncology Data Specialist

New Haven, CT ยท On-site

$17 - $22.75/hr

... oncology information from a variety of internal and external (paper and electronic) data sources in ... Must have excellent organizational skills and investigative analytic skills with detail orientation.

... complex analysis utilizing specialty databases to extract patient data from electronic medical ... Oncology Data Specialist credentialed from the National Cancer Registrars Association (NCRA ...

... complex analysis utilizing specialty databases to extract patient data from electronic medical ... Oncology Data Specialist credentialed from the National Cancer Registrars Association (NCRA ...

... complex analysis utilizing specialty databases to extract patient data from electronic medical ... Oncology Data Specialist credentialed from the National Cancer Registrars Association (NCRA ...

... analysis of cancer incidence data. * Retrieve and upload manual case finding lists into cancer ... Oncology Data Specialist credentialed from the National Cancer Registrars Association (NCRA ...

Responsible for the accurate collection, abstraction, analysis, and management of cancer data for ... This role ensures the integrity of oncology data submitted to state and national cancer registries ...

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Oncology Data Analytics information

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$153K

$178.7K

$202K

How much do oncology data analytics jobs pay per year?

As of Jun 17, 2026, the average yearly pay for oncology data analytics in the United States is $178,749.00, according to ZipRecruiter salary data. Most workers in this role earn between $165,500.00 and $191,500.00 per year, depending on experience, location, and employer.

How much money does an oncology data specialist make?

An oncology data specialist typically earns between $60,000 and $85,000 annually, depending on experience, location, and certifications. They often work with electronic health records and data analysis tools to support cancer research and treatment planning.

Will AI take over oncology data specialist jobs?

Oncology data specialists analyze and interpret complex cancer data, and AI tools can assist with data processing and pattern recognition. However, human expertise is essential for contextual understanding, decision-making, and ensuring data accuracy, so AI is more likely to augment rather than replace these roles.

How does an Oncology Data Analytics professional typically collaborate with clinical teams to improve patient outcomes?

Oncology Data Analytics professionals work closely with clinicians, researchers, and IT staff to collect, interpret, and visualize cancer-related data. They often participate in multidisciplinary meetings to translate analytical findings into actionable insights for treatment planning or clinical trials. By ensuring data integrity and providing real-time analysis, they help healthcare teams identify trends, monitor patient progress, and optimize care pathways. Strong communication skills are important, as these professionals must explain complex data concepts to non-technical stakeholders and facilitate data-driven decision-making.

What is an oncology data analyst?

An oncology data analyst is a professional who collects, manages, and analyzes data related to cancer treatments, patient outcomes, and research studies. They use statistical tools and software to support clinical decision-making and improve cancer care, often working with electronic health records and research databases.

What are the key skills and qualifications needed to thrive as an Oncology Data Analytics professional, and why are they important?

To thrive in Oncology Data Analytics, you need strong analytical skills, a background in statistics or epidemiology, and a relevant degree such as public health, biostatistics, or data science. Proficiency in data analysis tools like SQL, R, Python, and experience with oncology-specific databases and electronic health records is typically required. Attention to detail, problem-solving, and effective communication are critical soft skills for translating complex data into actionable insights for clinical and research teams. These competencies ensure accurate, reliable analysis that drives evidence-based decision-making in cancer care and research.

Are oncology data specialists in demand?

Oncology data specialists are in increasing demand due to the growing focus on personalized cancer treatment and the need for accurate data analysis in healthcare. They often require skills in data management, statistical tools, and knowledge of oncology, making them valuable in research institutions, hospitals, and pharmaceutical companies.

What is the difference between Oncology Data Analytics vs Oncology Data Management?

AspectOncology Data AnalyticsOncology Data Management
Required SkillsData analysis, statistical tools, programmingData entry, database management, quality control
Work EnvironmentResearch labs, healthcare analytics teamsHospitals, clinical data departments
Industry UsageAnalyzing patient data, improving treatment outcomesMaintaining and organizing oncology data records

Oncology Data Analytics focuses on analyzing complex data to derive insights and support decision-making in cancer care. In contrast, Oncology Data Management involves organizing, maintaining, and ensuring the accuracy of oncology data. Both roles are essential in the healthcare industry but serve different functions within oncology data workflows.

What is Oncology Data Analytics?

Oncology Data Analytics is the process of collecting, managing, and analyzing data related to cancer care to improve patient outcomes, optimize treatments, and support research. Professionals in this field use statistical methods and specialized software to interpret clinical, genomic, and operational data generated from oncology practices. This helps healthcare providers identify trends, evaluate the effectiveness of therapies, and make evidence-based decisions. Oncology data analytics also plays a key role in advancing cancer research and supporting personalized medicine.
More about Oncology Data Analytics jobs
What cities are hiring for Oncology Data Analytics jobs? Cities with the most Oncology Data Analytics job openings:
What states have the most Oncology Data Analytics jobs? States with the most job openings for Oncology Data Analytics jobs include:
Infographic showing various Oncology Data Analytics job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 92% Full Time, 3% Part Time, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $178,749 per year, or $85.9 per hour.
Certified Oncology Data Specialist, ODS (Remote. FT or PT)

Certified Oncology Data Specialist, ODS (Remote. FT or PT)

American Data Network

Little Rock, AR โ€ข Remote

Contractor

Posted 9 days ago

Be an early applicant


Job description

Salary:

Why ADN? Join the American Data Network family and become an integral part of a dynamic and purpose-driven organization. At ADN, we're not just a company; we're a community of passionate professionals dedicated to making a difference in healthcare. Embark on a journey where your work goes beyond a job description it becomes a meaningful contribution to the improvement of patient care. We foster a culture of integrity, excellence, continuous learning, collaboration, and a genuine commitment to making a positive impact. If you're ready to be part of a trusted advisor in healthcare data services and shape the future of quality and patient safety, come build your career with us at American Data Network. Make every day count, and make a difference with ADN.


Job Summary
Performs advanced clinical data abstraction in oncology registries supporting state and national oncology requirements, research, and performance improvement. This role requires deep knowledge of cancer registries, complex medical patterns, and oncology verification standards. The ideal candidate demonstrates expert judgment, precision in coding and abstraction, and the ability to work independently in a remote office environment.

Responsibilities

    • Identify, analyze, and abstract comprehensive oncology patient data from multiple clinical and administrative sources, including EHRs, operative reports, EMS documentation, and ancillary systems.
    • Compiles, organizes, codes, and enters detailed care data into the oncology registry database.
    • Maintains compliance with NCRA and other applicable guidelines to ensure the integrity and quality of national cancer data.
    • Stays current with registry requirements through continuing education and professional engagement.
    • Apply advanced clinical knowledge to abstract complex cases, i.e., rare cancer types, multiple primary tumors, complicated treatment regimens, and research-eligible cases.
    • Participate in internal and external quality assurance processes, including data validation, audits, and discrepancy resolution.
    • Collaborate with oncology program leadership, performance improvement teams, and clinical staff to clarify documentation and support oncology program goals.
    • Maintain current knowledge of oncology care, registry standards, and regulatory requirements to ensure continued compliance with Oncology Center expectations.

Qualifications

    • Current Oncology Data Specialist (ODS) certification by the National Cancer Registrars Association (NCRA) required.
    • Minimum 1 year of experience in oncology registries, 2+ years preferred.
    • Advanced understanding of oncology registry processes, coding, and registry rules, and manuals, i.e., SEER, AJCC, etc.
    • Excellent written and verbal communication skills with strong clinical documentation interpretation ability.
    • Exceptional attention to detail and data accuracy.
    • Ability to work independently in a remote environment while meeting productivity and quality standards.
    • Current on all required oncology registry and coding education.
    • Proficiency in EMR systems, registry software, and team collaboration tools.
    • Enhanced analytical and problem-solving abilities required.
    • Must be located in the United States.