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Remote Clinical Data Abstractor Jobs in Rochester, NY

Deloitte

Hospital Billing Analyst

Rochester, NY · Remote

$47.40K - $63.10K/yr

... operational data For individuals assigned and/or hired to work in a remote role, Deloitte is ... Work with coding, registration, authorization, clinical, and accounts receivable teams to resolve ...

Athena

Remote Psychotherapist

Rochester, NY · Remote

Weekly Clinical Supervision is provided by experienced Licensed Clinicians * Free CEU Credits for ... If you would like more information about how your data is processed, please contact us.

Honest Health

Population Health Manager

Rochester, NY · On-site +1

The position is remote, but you must be located in or near Rochester, NY due to the frequency with ... their data, and offer guidance on how to meet key performance metrics related to clinical ...

Rochester Regional Health

Coder-Outpatient

Rochester, NY · On-site +1

$22.25 - $30.25/hr

SUMMARY Review clinical documentation and diagnostic results to extract data and apply appropriate ... Remote SCHEDULE: Day shift RESPONSIBILITIES * Abides by the Standards of Ethical Coding as set ...

Rochester Regional Health

Coder - Inpatient

Rochester, NY · On-site +1

$21.50 - $26/hr

SUMMARY Review clinical documentation and diagnostic results to extract data and apply appropriate ... Riedman- Remote SCHEDULE: Day shift ATTRIBUTES * Abides by the Standards of Ethical Coding as set ...

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

As of May 28, 2026, the average hourly pay for remote clinical data abstractor in Rochester, NY is $24.99, according to ZipRecruiter salary data. Most workers in this role earn between $18.27 and $31.54 per hour, depending on experience, location, and employer.

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 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.
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Remote Clinical Data Abstractor jobs near you
Infographic showing various Remote Clinical Data Abstractor job openings in Rochester, NY as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $51,985 per year, or $25 per hour.

Emergency Medicine Specialist | Remote | $130 -$180/hr

Call For Referral

Rochester, NY • Remote

$130 - $180/hr

Part-time

This job post has expired today. Applications are no longer accepted.

Job description

About The Role This role focuses on improving AI systems' reasoning in acute and emergency care using high-quality, evidence-based clinical data. The work involves designing realistic emergency medicine scenarios, evaluating AI-generated outputs, and enhancing clinical reasoning across emergency care workflows. Position: Emergency Medicine Expert Type: Hourly Contract Engagement: Remnote Global | Part-time Compensation: $130–$180/hour Location: Remote (United States & Canada) Role Responsibilities Design clinically realistic emergency medicine scenarios including triage, undifferentiated complaints, resuscitation, procedural sedation, and disposition planning Develop high-quality "gold standard" responses at attending-level depth and accuracy Evaluate AI-generated outputs using structured medical rubrics Provide detailed written feedback to improve model reasoning and clinical accuracy Participate in onboarding sessions and specialty calibration discussions Ensure outputs align with evidence-based emergency medicine practices and standards Requirements Attending physicians: Board certified with a current, active, unrestricted medical license Resident physicians: Final year of residency (recent graduates must be board-eligible) Fellows: Board-certified or board-eligible in primary specialty with an active medical license Strong clinical reasoning and decision-making skills in emergency medicine Excellent written communication skills and attention to detail Engagement Details Fully remote and asynchronous work environment Standard commitment: ~20 hours/week (can increase based on performance and demand) Weekly payments Rolling start date after onboarding approval Ongoing engagement with periodic review Application & Onboarding Process Upload resume AI interview: A short, 15-minute conversational session to assess clinical background and expertise Follow-up communication with next steps and onboarding details

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