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Oncology Data Analytics Jobs (NOW HIRING)

As an Oncology Data Specialist, you will play a crucial role in managing and analyzing oncology data to support vital research initiatives. You will collaborate with healthcare professionals and ...

As an Oncology Data Specialist, you will be responsible for analyzing complex datasets, managing databases, and ensuring accurate data collection and integrity. Your contributions will directly ...

Oncology Data Specialist Department: KH Tumor Registry Location: Larkin Bldg @ Exchange Street Location of Job: US:NY:Buffalo Work Type: Full-Time Scheduled Work Hours: 6a-2p; 6:30a-2:30p; 7a-3p; 7 ...

Onsite The Oncology Data Science team in Biomedical Research supports the Oncology Disease Area ... As integrated scientists and engineers, we apply advanced analytics to pre-clinical and clinical ...

Maintains follow-up on all eligible analytic cases. Collects, calculates, analyzes, interprets and ... Performs studies utilizing oncology data for physicians, administration and American College of ...

Oncology Data Specialist

$25.20 - $37.81/hr

Cancer Registry Specialist This role is responsible for the collection, retrieval, and analysis of ... Oncology Data Specialist (ODS-C) Certification required, can be obtained within 2 years of hire or

Maintains follow-up on all eligible analytic cases. Collects, calculates, analyzes, interprets and ... Responsibilities (25%) Performs studies utilizing oncology data for physicians, administration and ...

Supports data collection, registry operations, reporting, and basic analysis efforts for public health and research initiatives. Applies knowledge of oncology registry rules, standards, and data ...

Oncology Data Specialist

Saint Cloud, MN · On-site

$25.20 - $37.81/hr

This role is responsible for the collection, retrieval, and analysis of data on patients with ... Oncology Data Specialist (ODS-C) Certification required, can be obtained within 2 years of hire or

New

Maintains follow-up on all eligible analytic cases. Collects, calculates, analyzes, interprets and ... Performs studies utilizing oncology data for physicians, administration and American College of ...

... Oncology) · Develop and maintain data pipelines and standardized datasets for reporting and analytics · Ensure data integrity, consistency, and compliance with healthcare regulations (e.g., HIPAA ...

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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 Aug 12, 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 does an oncology data analytics professional 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 skills and qualifications are needed for oncology data analytics?

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.

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:
What job categories do people searching Oncology Data Analytics jobs look for? The top searched job categories for Oncology Data Analytics jobs are:
Infographic showing various Oncology Data Analytics job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $178,749 per year, or $85.9 per hour.

Oncology Data Specialist

Synex Talent

Northborough, MA • Remote

$150K - $200K/yr

Full-time

Re-posted 27 days ago


Job description

Description

Synex Talent is excited to announce an opportunity for an Oncology Data Specialist to join our dedicated team in Northborough. This full-time, remote position allows you to leverage your expertise in the health and fitness industry while contributing to cutting-edge oncology research and data management.

As an Oncology Data Specialist, you will play a crucial role in managing and analyzing oncology data to support vital research initiatives. You will collaborate with healthcare professionals and researchers to ensure data integrity and contribute to projects that enhance patient care and treatment strategies. This position offers a competitive salary range of $150,000 - $200,000 annually, along with opportunities to grow and advance in your career within a supportive and dynamic environment.

Responsibilities
  • Collect, manage, and analyze oncology data for research projects
  • Ensure data integrity and compliance with industry standards
  • Collaborate with healthcare professionals to interpret data findings
  • Prepare detailed reports and presentations based on data analysis
  • Assist in the development and implementation of data management protocols
  • Stay updated on industry trends and best practices in oncology data management
  • Provide support in data entry, validation, and quality control processes
  • Utilize statistical software and tools for data analysis
Requirements
  • Bachelor's degree in Data Science, Health Informatics, or a related field
  • 1+ years of experience in data management or a related role
  • Proficiency in data analysis tools and statistical software (e.g., Python, R)
  • Strong understanding of oncology and healthcare data standards
  • Excellent attention to detail and commitment to data accuracy
  • Strong analytical, problem-solving, and organizational skills
  • Excellent communication and teamwork skills
  • Experience with electronic health records (EHR) systems is a plus