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Oncology Data Analytics Jobs (NOW HIRING)

Synex Talent

Oncology Data Specialist

Northborough, MA · Remote

$120K - $150K/yr

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 ...

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MyMichigan Health

Oncology Data Abstractor

Midland, MI · On-site

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 ...

Yale New Haven Health

Oncology Data Specialist

New Haven, CT · 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.

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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:
What job categories do people searching Oncology Data Analytics jobs look for? The top searched job categories for Oncology Data Analytics jobs are:
Oncology Data Analytics jobs near you
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.

Oncology Data Specialist

Synex Talent

Northborough, MA • Remote

$120K - $150K/yr

Full-time

Posted 2 days ago

Job description

Description

Synex Talent is looking for an Oncology Data Specialist to join our team in a full-time, remote position. Based in Northborough, this role plays a crucial part in harnessing data to support oncology research and contribute to advancements in the renewables and environment sector.

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 influence strategic decisions and improve health outcomes, showcasing our commitment to innovation and sustainability in the industry.

We offer a competitive salary range of $120,000 - $150,000 annually, along with a comprehensive benefits package that supports your professional journey and growth within the company.

Responsibilities
  • Collect and analyze oncology-related data from various sources
  • Ensure data quality, integrity, and security throughout the data lifecycle
  • Collaborate with cross-functional teams to support research initiatives
  • Prepare detailed reports and presentations for stakeholders
  • Identify trends and insights from data analysis to inform decision-making
  • Utilize data visualization tools to present findings effectively
  • Monitor and maintain databases related to oncology projects
  • Participate in the design and implementation of data collection protocols
Requirements
  • Associate's degree in Data Science, Health Informatics, or a related field
  • 1-3 years of experience in data analysis or a related role
  • Strong analytical skills with a focus on oncology-related datasets
  • Proficiency in data management tools and software
  • Excellent communication and collaboration abilities
  • Detail-oriented with a strong emphasis on data integrity
  • Ability to work independently in a remote environment
  • Familiarity with data visualization platforms is a plus