ZipRecruiter

Log In

2

Remote Clinical Data Abstractor Jobs in Delaware

Trella Health

S. locations in a remote capacity. Reports to: Director, Product As a Product Manager at Trella, you will: * Own product strategy, roadmap, and execution for a clinical data domain spanning the full ...

ChristianaCare

Coding Coordinator IV - (Remote)

Newark, DE · On-site +1

$32.77 - $52.43/hr

Analyze clinical data of inpatients, current treatment, past medical history and identifies potential gaps in physician documentation. * Analyze and report trends for improvement opportunities in ...

next page

Showing results 1-20

All JobsClinical Data Abstractor JobsRemote Clinical Data Abstractor JobsRemote Clinical Data Abstractor Jobs in Delaware

Remote Clinical Data Abstractor information

See Delaware salary details

$14

$25

$39

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

As of Jul 28, 2026, the average hourly pay for remote clinical data abstractor in Delaware is $25.35, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $32.02 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 the most commonly searched types of Clinical Data Abstractor jobs in Delaware? The most popular types of Clinical Data Abstractor jobs in Delaware are:
What are popular job titles related to Remote Clinical Data Abstractor jobs in Delaware? For Remote Clinical Data Abstractor jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Remote Clinical Data Abstractor jobs in Delaware look for? The top searched job categories for Remote Clinical Data Abstractor jobs in Delaware are:
What cities in Delaware are hiring for Remote Clinical Data Abstractor jobs? Cities in Delaware with the most Remote Clinical Data Abstractor job openings:
Remote Clinical Data Abstractor jobs near you
Infographic showing various Remote Clinical Data Abstractor job openings in Delaware 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 $52,733 per year, or $25.4 per hour.
Clinical Data Product Manager

Clinical Data Product Manager

Trella Health

On-site, Remote

Other

Posted 17 days ago

Job description

Position Overview:

We are looking for a Product Manager to join our Product team to own and grow a data domain spanning the full post-acute and value-based care continuum. You, as the Product Manager, will play a critical role in turning complex clinical and claims data into insights that help providers improve transitions of care, reduce readmissions, and deliver better outcomes across settings. You'll partner closely with data science, engineering, and GTM teams to ship AI-powered analytics that give post-acute providers and value-based organizations a clearer view of performance, referral patterns, and network leakage. This is a high-impact opportunity for someone who wants to shape how AI and clinical data come together to solve real problems in post-acute and value-based care, at a company positioned at the center of that shift.

Location: Our strong preference for candidates within commuting distance of Atlanta or Philadelphia. We have team members in both locations who visit our office weekly on Wednesdays. However, we will also consider applicants in other U.S. locations in a remote capacity.

Reports to: Director, Product

As a Product Manager at Trella, you will:

  • Own product strategy, roadmap, and execution for a clinical data domain spanning the full care continuum 
  • Lead end-to-end product development, from discovery through delivery, across cross-functional teams including data science, data engineering, and software engineering 
  • Translate clinical and claims data into actionable analytics, including transitions of care analysis, patient outcomes, performance benchmarking, referral patterns, cost, and network leakage 
  • Identify and integrate AI/ML-driven capabilities (e.g., predictive analytics, risk stratification, anomaly detection) to enhance clinical insights and drive smarter decision-making for value-based care and post-acute providers 
  • Build and ship AI-powered product features, from concept through adoption, including generative AI, predictive models, and intelligent automation embedded directly into clinical and operational workflows for users 
  • Use AI tools daily across the full product lifecycle, including discovery, prototyping, requirements definition, stakeholder communication, and GTM enablement 
  • Drive measurable business outcomes including ARR growth, customer retention, and NPS, ensuring product investments deliver impact 
  • Own the clinical narrative around care transitions, including discharge planning, referral patterns, and cross-setting patient flow, translating those workflows into product requirements 
  • Independently prioritize and manage the product backlog, balancing clinical user needs, business value, and technical investment 
  • Collaborate with GTM teams (Sales, Marketing, Customer Success) to support positioning, enablement, and successful product launches 
  • Conduct market and competitive analysis to inform product direction and identify opportunities for clinical and AI-driven innovation 
  • Champion a product-led mindset, driving clarity, accountability, and continuous improvement across teams 

This job might be a fit for you if you have: 

  • 4+ years of product management experience in B2B SaaS, with direct ownership of roadmap and product outcomes 
  • Hands-on experience with clinical data sets across care settings (e.g., MDS, OASIS, ADT feeds, claims, EHR data) 
  • Strong understanding of transitions of care, including how patients move across acute, post-acute, and community settings, and the data and workflows that support those handoffs 
  • Deep familiarity with post-acute care workflows and performance metrics (e.g., SNFs, home health, hospice, referrals, readmissions, LOS) 
  • Experience with or exposure to value-based care models (e.g., ACOs, bundled payments, network optimization) 
  • Strong experience in healthcare analytics, with a preference for post-acute and/or value-based care domains 
  • Proven ability to drive KPIs including retention, NPS, and revenue growth 
  • Experience building or managing data products and analytics/visualization tools 
  • Strong analytical and problem-solving skills, with comfort working closely with data science and engineering teams 
  • Demonstrated ability to lead cross-functional teams and influence stakeholders including executive leadership 
  • Experience in Agile environments and familiarity with tools like Jira, Aha! 
  • A customer-first mindset with a passion for solving complex healthcare problems and improving patient outcomes 
  • Strong understanding of CMS reimbursement and VBC models 
  • Genuine enthusiasm for AI and a track record of using AI tools to do better, faster work 
  • Clinician or prior clinical role with direct patient care experience across settings 

Apply