2

Remote Clinical Data Abstractor Jobs in Orange, CA

Remote or Hybrid or Onsite The Manager, Clinical Data Research will oversee the end-to-end collection and processing of clinical trial data. Leads the data management team, enforces regulatory ...

Remote or Hybrid or Onsite The Manager, Clinical Data Research will oversee the end-to-end collection and processing of clinical trial data. Leads the data management team, enforces regulatory ...

Be Seen First

The main function of a clinical data analyst is to create moderately complex metrics to identify ... Local candidates are preferred, with a hybrid work schedule of 3 days on-site and 2 days remote ...

Lead data management for complex, global clinical trials from study setup to database lock. * Serve as the main client contact for all data management deliverables. * Oversee SAE, PK, and external ...

Lead data management for complex, global clinical trials from study setup to database lock. * Serve as the main client contact for all data management deliverables. * Oversee SAE, PK, and external ...

next page

Showing results 1-20

Remote Clinical Data Abstractor information

See Orange, CA salary details

$15

$27

$41

How much do remote clinical data abstractor jobs pay per hour?

As of Aug 3, 2026, the average hourly pay for remote clinical data abstractor in Orange, CA is $27.06, according to ZipRecruiter salary data. Most workers in this role earn between $19.76 and $34.13 per hour, depending on experience, location, and employer.

What's the highest paid remote job?

Remote clinical data abstractors typically earn between $50,000 and $80,000 annually, depending on experience and certifications. Higher-paying remote roles in healthcare and data analysis, such as remote medical directors or senior data scientists, can exceed $100,000 per year. Specialized skills and industry demand influence compensation levels for remote jobs in this field.

What does a clinical data abstractor do?

A clinical data abstractor reviews and extracts relevant information from medical records and clinical documents to ensure accurate data collection for research, quality improvement, or regulatory purposes. They typically use electronic health record systems and must understand medical terminology and data privacy regulations. Attention to detail and accuracy are essential in this role.

What are the key skills and qualifications needed to thrive in the Remote Clinical Data Abstractor position, and why are they important?

To excel as a Remote Clinical Data Abstractor, you need a strong background in medical terminology, anatomy, and clinical documentation, often supported by experience in healthcare or a related degree. Familiarity with electronic health record (EHR) systems, data abstraction software, and certifications such as RHIA, RHIT, or CCS are highly valued. Attention to detail, self-motivation, and strong communication skills are essential soft skills in this remote role. These competencies ensure accurate extraction and management of clinical data, supporting compliance and quality improvement initiatives.

What are some common challenges faced by Remote Clinical Data Abstractors, and how can they be managed?

Remote Clinical Data Abstractors often encounter challenges such as managing large volumes of complex medical records, interpreting varied documentation styles, and maintaining accuracy under tight deadlines. Staying organized through effective time management and utilizing standardized abstraction guidelines can help mitigate these obstacles. Regular communication with clinical teams and ongoing training are also important for resolving ambiguities and staying updated on best practices. Adapting to a remote environment requires self-discipline, but with the right tools and support, most abstractors can excel and find satisfaction in the vital work they do.

What skills do you need to be a clinical data abstractor?

A clinical data abstractor needs strong attention to detail, excellent organizational skills, and familiarity with medical terminology and electronic health record systems. Proficiency in data entry, basic understanding of healthcare regulations, and the ability to review and interpret medical records are also important for accuracy and compliance.

How to become a clinical data abstractor online?

To become a remote clinical data abstractor, you typically need a healthcare-related degree or background, such as nursing or health information management, along with strong attention to detail and familiarity with medical terminology. Training programs or certifications in clinical research or data abstraction can enhance your qualifications, and proficiency with electronic health records (EHR) systems is often required. Many positions also require good organizational skills and the ability to work independently in a remote environment.

What is a Remote Clinical Data Abstractor job?

A Remote Clinical Data Abstractor is responsible for reviewing and analyzing medical records to extract key clinical data for research, quality improvement, or compliance purposes. They work remotely, often for healthcare organizations, insurance companies, or research institutions, ensuring accurate and timely data abstraction. This role requires a strong understanding of medical terminology, coding systems, and electronic health records (EHRs). Attention to detail and adherence to HIPAA regulations are essential.

What are popular job titles related to Remote Clinical Data Abstractor jobs in Orange, CA? For Remote Clinical Data Abstractor jobs in Orange, CA, the most frequently searched job titles are:
What job categories do people searching Remote Clinical Data Abstractor jobs in Orange, CA look for? The top searched job categories for Remote Clinical Data Abstractor jobs in Orange, CA are:
What cities near Orange, CA are hiring for Remote Clinical Data Abstractor jobs? Cities near Orange, CA with the most Remote Clinical Data Abstractor job openings:
Infographic showing various Remote Clinical Data Abstractor job openings in Orange, CA as of July 2026, with employment types broken down into 45% Full Time, and 55% Contract. Highlights an 100% Remote job distribution, with an average salary of $56,284 per year, or $27.1 per hour.

Manager, Clinical Data Research (Remote)

Stryker

Irvine, CA • On-site, Remote

$116K - $193K/yr

Full-time

Posted 21 days ago


Job description

Work Flexibility: Remote or Hybrid or Onsite

The Manager, Clinical Data Research will oversee the end-to-end collection and processing of clinical trial data. Leads the data management team, enforces regulatory compliance and ensures databases are designed to deliver clean analysis-ready data sets for statistical analysis. This is a hands-on position supporting our mission to improve patient care through the delivery of high-quality clinical data and evidence generation.

What You Will Do

  • Lead and mentor Clinical Data Managers and Clinical Data Specialists, managing resource allocation and study workloads across multiple clinical programs.
  • Oversee the design, development, testing, validation, and maintenance of Electronic Data Capture (EDC) systems, electronic Case Report Forms (eCRFs), and edit check specifications.
  • Drive data review, validation, and cleaning activities to ensure delivery of high-quality, analysis-ready datasets.
  • Manage database build, maintenance, and lock activities, ensuring databases are completed accurately and within study timelines.
  • Ensure compliance with applicable regulatory requirements, industry standards, and company procedures, including ICH-GCP and CDISC standards.
  • Partner with Clinical Research, Biometrics, Safety, and Clinical Insights functions to define data requirements and resolve complex clinical data issues.
  • Serve as the primary data management liaison for external vendors, including central laboratories, imaging vendors, and EDC providers, ensuring accurate external data integration.
  • Identify and implement process improvements, leveraging lessons learned across studies to enhance efficiency, quality, and consistency.

What You Need

  • Master's degree in a health, science, life sciences, or related field.
  • Minimum 8 years of experience in Clinical Data Management within the medical device, pharmaceutical, biotechnology, or related regulated industry.
  • Industry experience in medical technology or pharmaceutical organizations.
  • Experience leading clinical data management activities across multiple clinical studies.
  • Hands-on experience with Electronic Data Capture (EDC) systems and clinical database development.
  • Experience with data cleaning, database lock activities, and delivery of analysis-ready datasets.
  • Knowledge of ICH-GCP requirements and clinical data management best practices.
  • Experience managing external vendors and integrating external clinical data sources.

Preferred

  • Experience leading or mentoring Clinical Data Management teams.
  • Knowledge of CDISC standards, including SDTM and related data structures.
  • Experience supporting global clinical trials.
  • Experience with Medidata Rave, Veeva Vault, Merative Zelta, or similar EDC platforms.
  • Working knowledge of SAS, R, SQL, or other data analysis tools.
  • Experience driving process improvement initiatives within Clinical Data Management.

United States of America Pay Ranges:

  • Puerto Rico: $77,700 - $129,500 USD Annual
  • USN: $89,300 - $148,800 USD Annual
  • US5: $93,800 - $156,200 USD Annual
  • US10: $98,200 - $163,700 USD Annual
  • US15: $102,700 - $171,100 USD Annual
  • US20: $107,200 - $178,600 USD Annual
  • US30: $116,100 - $193,400 USD Annual

View the U.S. work location and transparency guide to find the pay range for your location.

Travel Percentage: 10%Stryker Corporation is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status. Stryker is an EO employer - M/F/Veteran/Disability.Stryker Corporation will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.