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Remote Cancer Data Management Jobs in California

Danaher

Senior Clinical Data Manager

Vista, CA · On-site +1

You will be a part of the Biostatistics and Data Management team and report to the Director of ... We recognize the benefits of flexible, remote working arrangements for eligible roles and are ...

Eocene Environmental Group

$23 - $27/hr

COMPENSATION: $23.00 to $27.00 an hour LOCATION: 50%-75% Remote Position. Must be a resident of ... Manage client database program(s) including receiving downloads of data from field personnel ...

Homesight Inc

Design, construct, and manage the data architecture, including data warehouses, data lakes, and data pipelines * Oversee data privacy and security protocols to ensure compliance and safeguard ...

Qvest US

Manager - Data & Analytics

Los Angeles, CA · On-site +1

With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast ... Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ...

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All JobsCancer Data Management JobsRemote Cancer Data Management JobsRemote Cancer Data Management Jobs in California

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, and why are they important?

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 the most commonly searched types of Cancer Data Management jobs in California? The most popular types of Cancer Data Management jobs in California are:
What are popular job titles related to Remote Cancer Data Management jobs in California? For Remote Cancer Data Management jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Cancer Data Management jobs in California look for? The top searched job categories for Remote Cancer Data Management jobs in California are:
What cities in California are hiring for Remote Cancer Data Management jobs? Cities in California with the most Remote Cancer Data Management job openings:
Remote Cancer Data Management jobs near you
Infographic showing various Remote Cancer Data Management job openings in California as of July 2026, with employment types broken down into 75% Full Time, 15% Part Time, 5% Temporary, and 5% Contract. Highlights an 5% In-person, and 95% Remote job distribution.

AI Training Specialist (Data Annotation)

Remote Talent Cloud

San Diego, CA • Remote

$20/hr

Contractor

Re-posted 12 days ago

Job description

As an AI Training Specialist (Data Annotation), you'll play a key role in helping train and improve artificial intelligence (AI) systems. Your work will directly support how AI models learn to recognize text, images, and other data accurately.

Your main responsibilities will include:

  • Labeling and categorizing data (such as text, images, or short videos) according to detailed project guidelines
  • Reviewing and verifying data for accuracy, consistency, and completeness
  • Identifying and flagging any errors, inconsistencies, or unclear data
  • Following clear annotation instructions to ensure high-quality results
  • Meeting productivity and accuracy goals within project timelines
  • Maintaining confidentiality and adhering to all data security standards

Requirements

We're looking for detail-oriented individuals who are comfortable working independently and enjoy structured, accuracy-focused tasks. The ideal candidate will have:

  • This is a fully remote position, but you must be located within the United States
  • Excellent attention to detail and strong organizational skills
  • A reliable Internet connection and computer
  • The ability to focus for extended periods and follow detailed written instructions
  • Strong written communication skills in English
  • Previous data annotation, labeling, or transcription experience is a plus, but not required

Benefits

  • Fully remote: work from anywhere within the United States
  • Full-time and part-time available
  • Competitive hourly pay from $20/hr
  • Training provided for all annotation tools and workflows
  • Gain hands-on experience supporting real-world AI training projects
  • Be part of a growing remote team working on cutting-edge technology

Apply