Senior Clinical Data Abstractor – Temp to Hire

Jobtailor; Deutschland; Remote; EUR 52.000 - 72.000; Vollzeit

Zusammenfassung

Jobtailor seeks a Clinical Data Abstraction Specialist to interpret and abstract patient data from various sources, applying ICD-10-CM and SNOMED CT coding. You will ensure data integrity using REDCap, EDCs, and registries while collaborating with cross-functional teams on encoding requirements.

The role supports QA, ETL workflows, and compliance with HIPAA. Strong communication, independence, and attention to detail are essential for success in this high-visibility project environment.

Qualifikationen

• U.S. licensed Nurse, PA-C, NP, or DNP required.
• Master’s degree in health sciences required.
• Strong understanding of medical terminology, disease processes, especially cancer, standard clinical workflows, and genetic testing.
• Minimum of 4–5 years of experience in clinical data abstraction and medical records review.
• Experience preferably in cancer, women’s health, or rare diseases.
• Ability to read, interpret, and abstract complex clinical information from electronic and paper medical records.
• Direct experience with clinical data encoding using ICD-10-CM and SNOMED CT.
• Direct experience with data mapping, standardization, and harmonization.
• Commitment to data integrity, quality control, HIPAA, and other data privacy regulations.
• Proficiency with Microsoft Office Suite or Google Suite.
• Ability to create pivot tables, generate reports, and perform data analysis.
• Experience using clinical data systems or databases, such as fillable forms, ECDs, and data registries.
• CCDM, CCRP, ACR-P, or CRA preferred.
• Excellent written and verbal communication skills.
• Ability to collaborate with clinical and non-clinical teams.
• Ability to work independently, manage time, prioritize and organize tasks, and meet strict productivity and quality deadlines.
• High initiative and self-motivation.
• Ability to work as part of a team on high-visibility projects with frequent communication.
• In-depth attention to detail and ability to learn quickly.
• Ability to respond to shifting priorities and changes.
• Maintenance of all relevant clinical or technical licensures.

Aufgaben

• Review, interpret, and abstract clinical patient data from EHR systems, paper charts, and other source documents
• Apply medical coding systems including ICD-10, MedDRA, CPT, and HCPCS to classify clinical data into standardized machine-readable data
• Use REDCap, registries, and custom EDC systems to enter, track, and maintain clinical data integrity
• Help cross-functional teams translate clinical and data abstraction and encoding requirements
• Support prompt engineering and design for AI and LLM initiatives
• Apply clinical data management and good clinical practice standards during abstraction and encoding
• Support end-to-end ETL workflows
• Perform quality assurance using macros, Excel/Google Sheets functions, formulas, and pivot tables
• Conduct peer reviews of medical record data to ensure quality and productivity expectations
• Follow project protocols, IRB requirements, HIPAA regulations, data management best practices, and organizational privacy policies
• Participate in developing and refining abstraction guidelines, tools, and standard operating procedures
• Submit daily, weekly, or monthly abstraction reports and productivity reporting
• Participate in team meetings and workshops
• Perform other assigned duties

Kenntnisse

ICD-10-CM Medical Coding

Clinical Data Abstraction

Data Mapping and Standardization

Quality Assurance and Data Integrity

Clinical Data Management

Pivot Tables

ETL Workflows

Microsoft Office Suite

Google Suite

REDCap

Electronic Health Records

Ausbildung

Master’s degree in health sciences

Tools

REDCap

Custom EDC Systems

Clinical Data Systems

Data Registries

Excel

Google Sheets

Jobbeschreibung

• Review, interpret, and abstract clinical patient data from EHR systems, paper charts, and other source documents
• Apply medical coding systems including ICD-10, MedDRA, CPT, and HCPCS to classify clinical data into standardized machine-readable data
• Use REDCap, registries, and custom EDC systems to enter, track, and maintain clinical data integrity
• Help cross-functional teams translate clinical and data abstraction and encoding requirements
• Support prompt engineering and design for AI and LLM initiatives
• Apply clinical data management and good clinical practice standards during abstraction and encoding
• Support end-to-end ETL workflows
• Perform quality assurance using macros, Excel/Google Sheets functions, formulas, and pivot tables
• Conduct peer reviews of medical record data to ensure quality and productivity expectations
• Follow project protocols, IRB requirements, HIPAA regulations, data management best practices, and organizational privacy policies
• Participate in developing and refining abstraction guidelines, tools, and standard operating procedures
• Submit daily, weekly, or monthly abstraction reports and productivity reporting
• Participate in team meetings and workshops
• Perform other assigned duties

Requirements

• U.S. licensed Nurse, PA-C, NP, or DNP required
• Master’s degree in health sciences required
• Strong understanding of medical terminology, disease processes, especially cancer, standard clinical workflows, and genetic testing
• Minimum of 4–5 years of experience in clinical data abstraction and medical records review
• Experience preferably in cancer, women’s health, or rare diseases
• Ability to read, interpret, and abstract complex clinical information from electronic and paper medical records
• Direct experience with clinical data encoding using ICD-10-CM and SNOMED CT
• Direct experience with data mapping, standardization, and harmonization
• Commitment to data integrity, quality control, HIPAA, and other data privacy regulations
• Proficiency with Microsoft Office Suite or Google Suite
• Ability to create pivot tables, generate reports, and perform data analysis
• Experience using clinical data systems or databases, such as fillable forms, ECDs, and data registries
• CCDM, CCRP, ACR-P, or CRA preferred
• Excellent written and verbal communication skills
• Ability to collaborate with clinical and non-clinical teams
• Ability to work independently, manage time, prioritize and organize tasks, and meet strict productivity and quality deadlines
• High initiative and self-motivation
• Ability to work as part of a team on high-visibility projects with frequent communication
• In-depth attention to detail and ability to learn quickly
• Ability to respond to shifting priorities and changes
• Maintenance of all relevant clinical or technical licensures

Core Competencies

Demonstrates expertise in clinical data abstraction, medical coding, and data management while adhering to regulatory standards such as HIPAA. Proficient in utilizing clinical data systems and tools to ensure data integrity and quality control in healthcare settings.

Highest-signal resume keywords

• ICD-10-CM Medical Coding
• Clinical Data Abstraction
• Data Mapping and Standardization
• Quality Assurance and Data Integrity
• Clinical Data Management

Hard Skills

• Medical Coding Systems
• Data Abstraction
• Clinical Data Encoding
• Data Analysis
• Pivot Tables
• ETL Workflows
• Microsoft Office Suite
• Google Suite
• REDCap
• Electronic Health Records

Soft Skills

• Excellent Communication Skills
• Collaboration
• Time Management
• Attention to Detail
• Self-Motivation

Certifications & Qualifications

• CCDM
• CCRP
• ACR-P
• CRA

Industry Keywords

• Clinical Data Management
• Good Clinical Practice
• HIPAA Regulations
• IRB Requirements
• Cancer
• Women's Health
• Rare Diseases
• Medical Terminology
• Data Privacy Regulations
• Clinical Workflows

Tools & Technologies

• REDCap
• Custom EDC Systems
• Clinical Data Systems
• Data Registries
• Excel
• Google Sheets