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Remote Cancer Data Management Jobs in Washington

Data Scientist

Alexandria, VA · On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0242719 Location: Alexandria,VA,US Share job via: Share Data ... Across private and public sectors, from fraud detection to cancer research to national intelligence ...

Data Scientist

Alexandria, VA · On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0241357 Location: Alexandria,VA,US Share job via: Share Data ... Across private and public sectors-from fraud detection to cancer research to national intelligence ...

Data Strategist

Alexandria, VA · On-site +1

$115K - $125K/yr

This is a remote position requiring all work be performed in the continental United States. US ... Develop policies for data management, security, accessibility, and lifecycle management. * Support ...

Data Engineer

Centreville, VA · On-site +1

$113K - $136K/yr

Data Management & Optimization * Collect, clean, and validate large volumes of structured and ... Schedules (Remote / Hybrid) - - Medical / Dental / Vision / Flexible Spending Account (FSA ...

Data Scientist

Washington, DC · On-site +1

$48K - $98K/yr

Remote Work: No Job Number: R0246054 Location: Washington,DC,US Share job via: Share Data Scientist ... Across private and public sectors, from fraud detection to cancer research, to national ...

... data management framework for geospatial intelligence products. The program is in active ... Experience with geospatial data, imagery products, or remote sensing datasets - familiarity with ...

Data Governance Lead

Mclean, VA · On-site +1

$99K - $225K/yr

Remote Work: Hybrid Job Number: R0241460 Location: McLean,VA,US Share job via: Share Data Governance Lead The Opportunity: As the Data Governance Lead, you will manage the platforms, rules, and ...

Scientific Data Analyst

Vienna, VA · On-site +1

$85K - $115K/yr

This role will be 100% remote for the foreseeable future. In this role, you will manage and analyze quantitative epidemiological, clinical and/or behavioral data and provide output in the format ...

Data Governance Lead

Mclean, VA · On-site +1

$99K - $225K/yr

Remote Work: Hybrid Job Number: R0244173 Location: McLean,VA,US Share job via: Share Data Governance Lead The Opportunity: As the Data Governance Lead, you will manage the platforms, rules, and ...

Showing results 41-60

Remote Cancer Data Management information

What is the difference between Remote Cancer Data Management vs Remote Oncology Data Entry?

AspectRemote Cancer Data ManagementRemote Oncology Data Entry
Primary RoleOversees data collection, analysis, and reporting for cancer research and treatment programsInputs and verifies patient data into databases for oncology studies
Required SkillsData analysis, understanding of cancer terminology, database managementData entry accuracy, familiarity with oncology terminology, basic database skills
Work EnvironmentRemote, often in research or healthcare organizationsRemote, typically in healthcare or clinical settings
CertificationsData management certifications, healthcare or cancer-specific trainingData entry certifications, healthcare data familiarity

Remote Cancer Data Management involves analyzing and managing complex cancer datasets, requiring analytical skills and specialized knowledge. In contrast, Remote Oncology Data Entry focuses on accurately inputting patient data, emphasizing precision and speed. Both roles are remote and industry-specific but differ in responsibilities and skill requirements.

What is remote cancer data management?

Remote cancer data management involves collecting, organizing, and analyzing cancer-related patient data from a distance, often using secure online platforms. Professionals in this field work to ensure that cancer registries are accurate and up-to-date, supporting research, treatment planning, and public health initiatives. This job typically requires knowledge of medical terminology, data privacy regulations, and specialized cancer registry software. Many positions allow for flexible, work-from-home arrangements while still maintaining rigorous standards for data security and quality.

What are some common challenges faced in remote cancer data management and how can they be addressed?

Working in remote cancer data management often involves challenges such as ensuring data accuracy, maintaining patient confidentiality, and effective communication with clinical teams. Since you’ll be handling sensitive health information remotely, robust cybersecurity protocols and secure data-sharing platforms are essential. Additionally, regular virtual meetings and clear documentation standards help bridge the gap between remote team members and on-site healthcare professionals, ensuring data integrity and collaborative problem-solving.

What are the key skills and qualifications needed to thrive as a remote cancer data management professional?

To thrive in Remote Cancer Data Management, you need a solid understanding of oncology data abstraction, medical terminology, and cancer registry standards, often supported by certification as a Certified Tumor Registrar (CTR). Familiarity with cancer registry software, electronic health records (EHR), and data reporting systems like SEER*DMS is commonly required. Attention to detail, analytical thinking, and strong written communication skills help ensure data accuracy and effective remote collaboration. These competencies are essential for maintaining high-quality cancer data that supports research, compliance, and improved patient outcomes.
What are popular job titles related to Remote Cancer Data Management jobs in Washington? For Remote Cancer Data Management jobs in Washington, the most frequently searched job titles are:
What cities in Washington are hiring for Remote Cancer Data Management jobs? Cities in Washington with the most Remote Cancer Data Management job openings:

Medicaid Economics Data Analyst - Full Time - Remote Role

GD Resources

Sterling, VA • Remote

Full-time

Re-posted 3 days ago


Job description


Data Analyst III – Medical Economics
Location: Fully Remote (CST/EST preferred; CA candidates must start ~6:00am PST)
Type: Permanent
Salary: $85,000–$95,000 base + 8% target bonus 
Industry: Healthcare / Managed Care
Overview
We are expanding our Medical Economics team and are seeking a Data Analyst III with strong managed care analytics experience. This role focuses on Medicare, Medicaid, and Marketplace analytics, reimbursement methodologies, and financial performance insights that support affordability, quality, and MLR targets.
The ideal candidate has hands-on experience working with large healthcare datasets, payment methodologies, and cross-functional stakeholders, with exposure to actuarial or medical economics workstreams.
Key Responsibilities
  • Analyze Medicare, Medicaid, and Marketplace data to support medical cost, utilization, and reimbursement insights
  • Develop and maintain complex SQL queries to extract, validate, and analyze large datasets
  • Perform financial and medical cost analyses related to payment and reimbursement methodologies (DRG, APC, EAPG)
  • Build and maintain Power BI dashboards using DAX and Power Pivot to track KPIs, MLR, and QAI initiatives
  • Create advanced Excel models using Pivot Tables, Power Query, nested formulas, and lookups to support financial modeling
  • Collaborate with Medical Economics, Actuarial, Finance, and other cross-functional teams
  • Support evaluation of Quality & Affordability Initiatives (QAI) and Medical Loss Ratio (MLR) performance
  • Ensure data accuracy through validation, reconciliation, and documentation

Required Qualifications
  • Bachelor’s degree in business, economics, statistics, mathematics, actuarial science, public health, health informatics, healthcare administration, finance, or related field
    • Equivalent experience considered
  • 4+ years of experience working with large datasets, data management, and analytics
    • OR 2+ years of IT/data-focused experience with healthcare exposure
  • Strong experience in Managed Care / Medical Economics analytics
  • Demonstrated knowledge of payment and reimbursement methodologies (DRG, APC, EAPG)
  • Advanced SQL skills (complex SELECTs, multiple JOINs, subqueries)
  • Advanced Excel skills (Pivot Tables, Power Query, VLOOKUP/XLOOKUP, financial modeling)
  • Power BI experience, including DAX and Power Pivot

Preferred / Nice-to-Have
  • Experience with actuarial or financial analytics in a healthcare setting
  • Exposure to Python and/or R
  • Consulting experience within managed care or medical economics

Additional Notes
  • No relocation available
  • No sponsorship
  • This is a new position due to team expansion
  • Candidates with actuarial-adjacent experience or prior medical economics consulting backgrounds have been especially successful in this team

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