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Remote Cancer Data Management Jobs in Pittsburgh, PA

Cloud Data Architect

Pittsburgh, PA · Remote

$65.25 - $84/hr

Mentor junior architects and data management staff, and translate complex technical concepts into ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Cloud Data Architect

Pittsburgh, PA · On-site +1

$62 - $79.50/hr

Mentor junior architects and data management staff, and translate complex technical concepts into ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Segment Data Officer - 3

Pittsburgh, PA · On-site +1

$125K - $255K/yr

The Segment Data Office Manager/Leader works in partnership with our Chief Data & Architecture ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

A Data Analyst will leverage their business and technical knowledge to organize and manage ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

A Data Analyst will leverage their business and technical knowledge to organize and manage ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Sr. Data Engineer (Snowflake)

Pittsburgh, PA · Remote

$117K - $140K/yr

Collaborate with engagement managers and account teams to help scope work and provide technical ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Sr. Data Engineer (Snowflake)

Pittsburgh, PA · On-site +1

$111K - $133K/yr

Collaborate with engagement managers and account teams to help scope work and provide technical ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

We are fully remote, with team members in the United States and Europe. Benefits include: * Equity ... Flexible Time Off - Autonomy to manage your schedule and work-life balance. * Health, Welfare and ...

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Showing results 1-20

Remote Cancer Data Management information

See Pittsburgh, PA salary details

$30.1K

$94.3K

$167K

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

As of Sep 8, 2026, the average yearly pay for remote cancer data management in Pittsburgh, PA is $94,310.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,100.00 and $121,800.00 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 Pittsburgh, PA?

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

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

The top searched job categories for Remote Cancer Data Management jobs in Pittsburgh, PA are:

What cities near Pittsburgh, PA are hiring for Remote Cancer Data Management jobs?

Cities near Pittsburgh, PA with the most Remote Cancer Data Management job openings:

Cloud Data Architect

Data Ideology

Pittsburgh, PA • Remote

$65.25 - $84/hr

Contractor

Re-posted yesterday


Job description

Data Ideology
At DI, we provide Data & Analytics expertise to drive measurable business outcomes, often solving complex business problems for our clients. Our data analytics advisory services enable our customers to transform data into insights by driving a culture of empowerment and ownership of results. Our team consists of highly motivated individuals passionate about learning, understanding, collaborating, and intellectually curious. For more information about Data Ideology, visit www.dataideology.com.
Cloud Data Architect
We are always looking to connect with top talent! We are seeking a skilled and collaborative Cloud Data Architect to help drive ongoing data modernization efforts. This role is responsible for designing and enabling modern cloud data platforms, integrating enterprise systems, and building semantic data models that support critical business functions across the organization. If you're passionate about cloud architecture, scalable data solutions, and helping organizations transform their data ecosystems, we'd love to connect with you.
Key Responsibilities

  • Own the architecture for cloud-native data platforms, including Lakehouse designs (Delta Lake, Iceberg, Databricks, or Microsoft Fabric) that support reporting, analytics, and BI.
  • Design scalable data models supporting enterprise platforms, including ERP, financial, operational, and project management systems.
  • Lead modernization initiatives for legacy data environments, including migration strategy, data mapping/transformation, reconciliation, and cutover to production.
  • Build frameworks for real-time and near real-time data ingestion and processing, alongside batch pipelines (ELT/ETL).
  • Drive decisions across storage, orchestration, data quality, reliability, and performance.
  • Define semantic data models that enable self-service analytics and consistent reporting, in coordination with data governance, metadata management, and master data management (MDM) standards.
  • Partner with business and technical stakeholders across functional areas to prioritize requirements and translate them into architectural decisions.
  • Support secure, governed data access in coordination with Identity and Access Management (IAM) teams.
  • Evaluate emerging technologies, including AI, and identify opportunities to apply them within the data ecosystem; help shape the long-term technical roadmap.
  • Mentor junior architects and data management staff, and translate complex technical concepts into clear, business-friendly language for technical and non-technical audiences alike.
Qualifications
  • 8+ years of experience in data architecture, data modeling, or cloud data engineering, with demonstrated ownership of architecture decisions.
  • Hands-on experience designing and implementing cloud data solutions using Snowflake, Azure, AWS, and/or Databricks.
  • Deep understanding of distributed systems, data architecture, and modern cloud infrastructure.
  • Experience with Lakehouse architecture and platforms (Delta Lake, Apache Iceberg, Apache Hudi).
  • Demonstrated success designing semantic data models for reporting and analytics at scale.
  • Experience leading or supporting large-scale data migrations, from discovery through cutover, and building systems from concept through production.
  • Experience supporting low-latency or high-volume data environments is highly desirable.
  • Strong grounding in modern data warehousing, ELT/ETL, and cloud architecture best practices.
  • Proven ability to navigate ambiguity, influence technical direction, and drive clarity across cross-functional teams, balancing strategic vision with hands-on execution.
  • Excellent communication, presentation, and stakeholder management skills.
Preferred Qualifications
  • Deep experience with data governance, metadata management, MDM, and data quality frameworks.
  • Familiarity with data catalog tools (e.g., Purview, Collibra, Alation).
  • Track record supporting enterprise data modernization, migration, or cloud transformation initiatives.
Work Environment: 
  • Remote work from home. 
  • Hours of work and days are generally Monday through Friday. Specific business hours will depend on client needs. 
Physical Demands: 
  • Must be able to remain in a stationary position 50% of the time. 
  • The person in this position must occasionally move about inside the office to access file cabinets, library stacks, office machinery, etc. 
  • Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine, and printer. 
  • The person in this position frequently communicates with clients and coworkers. Must be able to exchange accurate information in these situations. 

Data Ideology is an EEO Employer
 

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