2

Remote Clinical Data Abstractor Jobs in Boca Raton, FL

The Part-Time QA Nurse is a remote-based RN who plays a critical role in ensuring the clinical ... Review and correct OASIS data to ensure accurate PDGM grouping and reimbursement alignment.2. ...

next page

Showing results 1-20

Remote Clinical Data Abstractor information

See Boca Raton, FL salary details

$13

$24

$37

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

As of Jul 25, 2026, the average hourly pay for remote clinical data abstractor in Boca Raton, FL is $24.04, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $30.34 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 Boca Raton, FL? For Remote Clinical Data Abstractor jobs in Boca Raton, FL, the most frequently searched job titles are:
What job categories do people searching Remote Clinical Data Abstractor jobs in Boca Raton, FL look for? The top searched job categories for Remote Clinical Data Abstractor jobs in Boca Raton, FL are:
What cities near Boca Raton, FL are hiring for Remote Clinical Data Abstractor jobs? Cities near Boca Raton, FL with the most Remote Clinical Data Abstractor job openings:
Infographic showing various Remote Clinical Data Abstractor job openings in Boca Raton, FL as of July 2026, with employment types broken down into 43% Full Time, and 57% Contract. Highlights an 100% Remote job distribution, with an average salary of $49,998 per year, or $24 per hour.
Healthcare Analytics Supervisor

Healthcare Analytics Supervisor

Pediatric Associates

Plantation, FL โ€ข Remote

Full-time

Posted 14 days ago


Job description

PRIMARY FUNCTION

The Supervisor, Healthcare Analytics will oversee delivery of analytics related to membership trends, panel management, quality metrics, cost, and utilization. This role requires a strong balance of analytical expertise and managerial skills, collaborating across key functionsโ€”including Clinical, FP&A, Managed Care, and Operationsโ€”to translate data into actionable insights.

ESSENTIAL DUTIES AND RESPONSIBILITIES

This list may not include all of the duties that may be assigned.

  1. Supervise the Healthcare Analytics team, providing guidance and oversight on data analysis projects, reporting, and business insights development.
  2. Gather, process, and validate attributed member, patient, quality metric, cost, and utilization data from multiple sources, including payers and internal Pediatric Associates datasets.
  3. Develop and implement analytical methodologies to identify trends, patterns, and opportunities for improvement in VBC attribution, quality, cost and utilization management.
  4. Interpret and apply contract language to analytical insights which ensures accurate financial reporting and compliance with payer agreements.
  5. Prepare and deliver reports, dashboards, and visual presentations to communicate key findings to leadership and stakeholders.
  6. In collaboration with the Director, work with leadership and cross-functional teams to identify business needs, optimize performance metrics, and align analytic strategies with enterprise goals.
  7. Oversee analytics projects, ensuring timely completion, accuracy, and alignment with organizational objectives.
  8. Partner with the data management team to ensure data accessibility, integrity, and alignment with business reporting requirements.
  9. Provide mentorship and training to analysts, fostering professional growth and enhancing analytical capabilities within the team. Planning, assigning reviewing and directing work, evaluating, and appraising performance.
  10. Rewarding and disciplining employees, addressing complaints, and resolving problems.ย 
  11. Make hiring decisions and designs individual development plans with succession planning in mind for all key roles.

SUPERVISORY RESPONSIBILITIES

Supervises a team of Analysts.

QUALIFICATIONS

EDUCATION: Bachelorโ€™s Degree in Statistics, Healthcare Economics, Business, Healthcare Administration, or equivalent combination of education and work experience required.

EXPERIENCE:

  • A minimum of 3 years of professional healthcare analytic experience required.
  • 5 years of experience in healthcare analytics preferred.

KNOWLEDGE, SKILLS AND ABILITIES

  • Strong analytical and problem-solving skills with expertise in data mining, statistical analysis, and data visualization tools required.
  • Understanding of healthcare terminology and processes required.
  • Experience integrating clinical data (EMR) with payor data required.
  • Experience using healthcare eligibility, quality, and claims data sets and how those data sets join required.
  • Experience reviewing and interpreting contract language and connecting contract language to healthcare data sets required.
  • Proficiency in data analysis tools (e.g., SQL, SAS, R) and database management systems required.
  • Ability to manage projects, prioritize tasks, and meet deadlines required.
  • Understanding business processes and how data can be used to drive decision-making and improve performance required.
  • Excellent written and verbal communication skills to effectively convey findings and recommendations to both technical and non-technical audiences required.
  • Experience in understanding capitation and payer attribution rules preferred.
  • Experience with quality-based contracts and tracking metric performance preferred.
  • Experience in Managed Medicaid preferred.

TYPICAL WORKING CONDITIONS

  • Non-patient facing
  • Full time remote
  • Job must be U.S. based


OTHER PHYSICAL REQUIREMENTS

  • Vision
  • Hearing
  • Sense of Touch
  • Manual Dexterity to operate a computer

ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย 

PERFORMANCE REQUIREMENTS

Adhere to all organizational information security policies and protect all sensitive information including but not limited to ePHI and PHI (Protected Health Information) in accordance with organizational policy, Federal, State, and local regulations.

The foregoing description is not intended and should not be construed to be an exhaustive list of all responsibilities, skills, efforts or working conditions associated with the job. It is intended to be an accurate reflection of the general nature of level of the job.