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Remote Cancer Data Management Jobs in Baltimore, MD

Data Architect

Columbia, MD · On-site +1

$86K - $198K/yr

Remote Work: No Job Number: R0244044 Location: Columbia,MD,US Share job via: Share Data Architect ... Effective data management can enable more efficient operations, yielding more growth. As a data ...

The role applies specialized knowledge of fundraising databases and data management practices to ... remote option for applicants who live outside of commuting distance to either of our offices and ...

TS/SCI Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking an experienced Data ... management across cloud and tactical edge environments within an open-architecture framework

Lead Data Engineer (Remote)

Baltimore, MD · Remote

$113K - $136K/yr

Lead the team to design, configure, implement, monitor, and manage all aspects of Data Integration Framework. Defines and develop the Data Integration best practices for the data management ...

Sr. Data Analytics Engineer

Baltimore, MD · On-site +1

$125K - $165K/yr

Own CI/CD deployment pipelines and release management processes. * Drive engineering best practices ... Location: Remote (East Coast strongly preferred to optimize collaboration with HQ and cross ...

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Remote Cancer Data Management information

See Baltimore, MD salary details

$30.8K

$96.5K

$170.9K

How much do remote cancer data management jobs pay per year?

As of Sep 6, 2026, the average yearly pay for remote cancer data management in Baltimore, MD is $96,527.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,600.00 and $124,700.00 per year, depending on experience, location, and employer.

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 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 are popular job titles related to Remote Cancer Data Management jobs in Baltimore, MD?

For Remote Cancer Data Management jobs in Baltimore, MD, the most frequently searched job titles are:

What job categories do people searching Remote Cancer Data Management jobs in Baltimore, MD look for?

The top searched job categories for Remote Cancer Data Management jobs in Baltimore, MD are:

Business Analyst, Data Management

Mondo

Owings Mills, MD • Remote

$50 - $58/hr

Contractor

Medical, Dental, Vision, Retirement

Posted 16 days ago


Job description

Apply now: Business Analyst, Data Management, location is Hybrid. The start date is September 21 for this contract-to-hire position.

Job Title: Business Analyst, Data Management Location-Type: Hybrid – Colorado Springs, CO or Owings Mills, MD (4 days onsite; Fridays remote) Start Date Is: September 21 Duration: 6-Month Contract-to-Hire Compensation Range: $50-58/hr W2 Benefits: Eligible for Health, Dental, Vision, 401K Must be authorized to work in the U.S. This position is not eligible for sponsorship .

Job Description: Seeking a Business Analyst to support foundational data and data management platforms by serving as the bridge between business partners and technology teams. This role is centered on understanding business needs, facilitating discovery, writing actionable requirements and user stories, and supporting solutions through implementation. The ideal candidate has enough technical and data fluency to dig into data quality, governance, and validation issues while remaining fundamentally a business-focused analyst.

Day-to-Day Responsibilities:

  • Partner with business and technology stakeholders to understand needs, pain points, business drivers, and desired outcomes
  • Facilitate discovery sessions to uncover requirements and understand the "why " behind business requests
  • Gather, analyze, and document business, functional, and data requirements
  • Translate requirements into clear user stories, acceptance criteria, process flows, and functional specifications
  • Work closely with technology teams throughout solution discovery, development, testing, and implementation
  • Analyze and validate data using SQL and relational databases to support requirements and solution design
  • Perform data validation, reconciliation, and profiling to identify potential issues
  • Investigate data quality issues and coordinate resolution across business and technical teams
  • Support data governance efforts by helping define business rules, data definitions, quality expectations, and operational requirements
  • Develop test scenarios, validate results, document defects, and coordinate resolution
  • Facilitate communication across business, product, data, and technology teams
  • Identify dependencies, risks, and gaps throughout the delivery lifecycle
  • Work within Agile teams using Jira to manage stories, requirements, and delivery activities
  • Support continuous improvement of data products, processes, and team workflows

Minimum Requirements:

  • 2 years of Business Analyst, Data Analyst, or related experience
  • Bachelor's degree
  • Strong requirements gathering and documentation experience
  • Experience writing user stories and acceptance criteria
  • Strong business and process analysis skills
  • Experience partnering with technology teams to deliver solutions
  • Working knowledge of SQL and relational databases
  • Comfortable analyzing data and discussing data quality, governance, validation, and reporting
  • Exposure to Jira
  • Experience working in Agile/Scrum or Kanban environments
  • Financial services or investment product experience
  • Strong communication and stakeholder management skills
  • Ability to effectively communicate with both technical and non-technical stakeholders
Preferred Qualifications:
  • Strong financial or investment product acumen
  • Experience supporting enterprise data platforms or data management initiatives
  • Experience with data profiling, reconciliation, or data quality initiatives
  • Experience supporting data governance programs