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Remote Clinical Data Abstractor Jobs in St Louis, MO

Medical Science Specialist

Saint Louis, MO ยท On-site +1

$187K - $257K/yr

You will be responsible for communicating complex clinical data, supporting investigator-initiated ... Remote USA Travel: May include up to 75 % Relocation Assistance: Not authorized Pay Transparency ...

Medical Science Specialist

Saint Louis, MO ยท Remote

$187K - $257K/yr

You willbe responsible forcommunicating complex clinical data, supporting investigator-initiated ... Remote USA Travel: May include up to 75 % Relocation Assistance: Not authorized Pay Transparency ...

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Showing results 1-20

Remote Clinical Data Abstractor information

See St Louis, MO salary details

$13

$24

$38

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

As of Sep 6, 2026, the average hourly pay for remote clinical data abstractor in St. Louis, MO is $24.63, according to ZipRecruiter salary data. Most workers in this role earn between $17.98 and $31.11 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote clinical data abstractor?

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 are popular job titles related to Remote Clinical Data Abstractor jobs in St. Louis, MO?

For Remote Clinical Data Abstractor jobs in St. Louis, MO, the most frequently searched job titles are:

What job categories do people searching Remote Clinical Data Abstractor jobs in St. Louis, MO look for?

The top searched job categories for Remote Clinical Data Abstractor jobs in St. Louis, MO are:

What cities near St. Louis, MO are hiring for Remote Clinical Data Abstractor jobs?

Cities near St. Louis, MO with the most Remote Clinical Data Abstractor job openings:

Infographic showing various Remote Clinical Data Abstractor job openings in St. Louis, MO as of August 2026, with employment types broken down into 81% Full Time, and 19% Part Time. Highlights an 100% Remote job distribution, with an average salary of $51,224 per year, or $24.6 per hour.

Data/Lakehouse Architect - FHIR & Clinical Data

S2Tech

Chesterfield, MO โ€ข Remote

$63 - $81.25/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Job description

Data/Lakehouse Architect - FHIR & Clinical Data

Location: Remote โ€“ U.S.ย  with travel to Jefferson City, MO (as directed)

About Us:

Known for โ€œDelighting the Clientโ€ through performance, innovation, and an employee-centric culture, S2Tech is a fast-growing IT consulting company serving clients in over a quarter of the United States. We are widely recognized as a leading provider of both technical and business services in support of Health and Human Services-related projects. Feel free to learn more at www.s2tech.com.

Why S2Tech?:

  • Stable, privately-owned company with a strong reputation for building long-term client relationships through the delivery of consistent value-based service
  • 25+ years providing IT and Business services to private customers and government programs throughout the United States
  • Expansive client portfolio and active projects โ€“ employees benefit from innovative project exposure and in-house skill development training/courses ย 
  • Corporate culture that emphasizes the importance of family and promotes a healthy work-life balance
  • Offer competitive pay and a range of benefits, including:
    • Medical / Dental / Vision Insurance โ€“ insurance premium assistance provided
    • Additional Insurance (Life, Disability, etc.)
    • Paid Time Off
    • 401(k) Retirement Savings Plan & Health Savings Account
    • Various training courses to promote continuous learning
    • Corporate Wellness Program
  • Be part of a company that gives back through its non-profit organization, Fortune Fund, which was launched in 2001. The goal of the Fortune Fund is to close the rural/urban divide by ensuring children in rural communities in India and the United States understand the importance of education & are aware of professional career opportunities, allowing them to link their professional & educational goals

Job Overview:

Lead the data architecture and engineering design for Missouriโ€™s Integrated Health Data Fabric (MIHDF), expanding the Stateโ€™s existing enterprise lakehouse into a governed, interoperable data foundation. Must combine hands-on clinical-feed normalization with AWS ingestion architecture, canonical/FHIR data modeling, and enterprise metadata and lineage practices.

Responsibilities:

  • Define and implement the lakehouse data architecture across raw/bronze, curated/silver, and reporting/gold layers while preserving source fidelity and auditability
  • Design batch, near-real-time, and event-driven ingestion pipelines for clinical, claims, eligibility, social-care, and public-health data using AWS-native services, including AWS Glue
  • Map heterogeneous clinical feeds into governed transactional and analytical structures using canonical and FHIR-aligned data models
  • Establish data-quality, validation, reconciliation, deduplication, harmonization, schema-evolution, and exception-management controls
  • Implement metadata management, lineage, data cataloging, provenance, retention, and traceability from source through downstream reports and APIs
  • Coordinate lakehouse integration with the FHIR platform, API layer, master data/patient identity capabilities, analytics, and downstream CMS/state reporting
  • Produce architecture decisions, data mappings, interface specifications, runbooks, and knowledge-transfer materials suitable for State operations
  • Collaborate with security, integration, FHIR, analytics, and delivery teams in a multi-vendor Medicaid environment

Mandatory Qualifications:ย  ย 

  • 8+ years mapping unstandardized clinical data feeds into cloud-hosted transactional database tables
  • 8+ years of data engineering or data architecture experience covering AWS, ingestion pipelines, canonical/FHIR data modeling, and metadata/lineage
  • Demonstrated ability to translate healthcare source data into governed, production-grade data models and pipelines
  • Ability to perform all work within the United States and support Jefferson City onsite needs as directed

Preferred Qualifications:ย 

  • Deep FHIR R4, US Core, HL7 v2, CDA/C-CDA, healthcare terminology, or implementation-guide experience
  • AWS Glue, S3, lakehouse, catalog, orchestration, observability, and data-security experience
  • Medicaid, MMIS/MES, state health and human services, claims/eligibility, or public-health data experience
  • Experience with master patient index/master data management, consent, data governance, CMS reporting, or HIPAA/MARS-E controls

S2Tech is committed to hiring and retaining a diverse workforce. We are an equal opportunity employer making decisions without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected class.