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Contract Remote Clinical Data Abstractor Jobs in Boston, MA

Data Architect, Next Platform

Boston, MA · On-site +1

$150K - $200K/yr

Educate engineering and clinical teams on data modeling standards, governance, and best practices ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Analyzes available clinical evidence (data held by the manufacturer, published literature) to ... LI-remote About us With a firm belief that every person and community should have access to the ...

Analyzes available clinical evidence (data held by the manufacturer, published literature) to ... LI-remote About us With a firm belief that every person and community should have access to the ...

Contractor Location: Remote micro1 is engaging Bioinformatics Scientists to contribute their ... Evaluate and synthesize findings from biological, chemical, and clinical data sources. * Offer ...

Director, Clinical Science

Cambridge, MA · On-site +1

$168K - $268K/yr

Proven track record in leading global clinical studies within pharmaceutical companies or contract research organizations (CROs) * Deep understanding of clinical data collection systems (e.g., EDC ...

Showing results 21-40

Contract Remote Clinical Data Abstractor information

See Boston, MA salary details

$15

$27

$42

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

As of Aug 6, 2026, the average hourly pay for contract remote clinical data abstractor in Boston, MA is $27.52, according to ZipRecruiter salary data. Most workers in this role earn between $20.10 and $34.71 per hour, depending on experience, location, and employer.

What are some common challenges faced by contract remote clinical data abstractors?

Remote contract clinical data abstractors often encounter challenges related to accessing and interpreting diverse medical records from multiple healthcare systems, as each may use different documentation standards or electronic health record platforms. Time management and self-motivation are also crucial, since contract work requires balancing productivity with quality while working independently. Additionally, maintaining strict data security and privacy protocols is essential, as handling sensitive patient information remotely necessitates adherence to HIPAA and organizational standards.

What is a contract remote clinical data abstractor?

A Contract Remote Clinical Data Abstractor is a healthcare professional who reviews and extracts specific medical data from patient records or clinical documentation, typically for research, quality reporting, or billing purposes. Working on a contract basis, they are hired for a set period or project and perform their duties remotely, often from home. Their work helps ensure that healthcare organizations maintain accurate and complete data, which is essential for compliance, research, and improving patient care. They may need experience with electronic health record (EHR) systems and a background in healthcare or medical coding.

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

To thrive as a Contract Remote Clinical Data Abstractor, you need a solid understanding of medical terminology, clinical procedures, and healthcare data standards, usually supported by experience in nursing, health information management, or a related field. Familiarity with electronic health record (EHR) systems, data abstraction tools, and relevant certifications such as Certified Clinical Data Abstractor (CCDA) or RHIA/RHIT are typically required. Detail orientation, strong analytical skills, and effective communication are crucial soft skills for ensuring accuracy and collaborating remotely with healthcare teams. These skills and qualifications are vital for maintaining high-quality clinical data, supporting patient care initiatives, and meeting regulatory or research requirements.

What is the difference between Contract Remote Clinical Data Abstractor vs Contract Remote Clinical Data Coordinator?

AspectContract Remote Clinical Data AbstractorContract Remote Clinical Data Coordinator
CredentialsTypically requires clinical or data management certifications, such as CDISC or CDMOften requires similar certifications, with additional project management skills
Work EnvironmentRemote, focused on data abstraction from clinical recordsRemote, overseeing data collection and coordination activities
Employer & Industry UsageUsed by CROs, pharmaceutical companies, and research institutionsCommon in clinical research organizations and biotech firms
Search & Comparison IntentPeople compare to understand role scope and requirementsOften compared to clarify responsibilities and career progression

The Contract Remote Clinical Data Abstractor primarily focuses on extracting and reviewing clinical data from records, while the Contract Remote Clinical Data Coordinator manages data collection processes and oversees data quality. Both roles are remote and require similar certifications, but their responsibilities differ in scope and focus within the clinical research industry.

What are popular job titles related to Contract Remote Clinical Data Abstractor jobs in Boston, MA? For Contract Remote Clinical Data Abstractor jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Contract Remote Clinical Data Abstractor jobs in Boston, MA look for? The top searched job categories for Contract Remote Clinical Data Abstractor jobs in Boston, MA are:
What cities near Boston, MA are hiring for Contract Remote Clinical Data Abstractor jobs? Cities near Boston, MA with the most Contract Remote Clinical Data Abstractor job openings:

Data Architect, Next Platform

Tempus

Boston, MA • On-site, Remote

$150K - $200K/yr

Full-time

Posted 7 days ago


Job description

Passionate about precision medicine and advancing the healthcare industry?

Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.

We are seeking a Data Architect to design the structural backbone of a high-scale, multi-modal healthcare data ecosystem. You will be responsible for architecting data environments that serve massive networks of hospitals, ensuring that diverse data types-ranging from structured EHR records to unstructured genomic and imaging data-are seamlessly accessible to autonomous AI agents.

Our goal is to move beyond static data warehousing to create a dynamic, "agent-ready" data fabric that supports real-time clinical evaluation at an enterprise scale.

What You'll Do
  • Multi-Modal Architecture: Lead the design and management of an enterprise data model that integrates complex domains including clinical EHR records, high-throughput genomics (NGS), and cardiovascular imaging (Echo, Cath, ECG).

  • Scale for Hospital Networks: Architect data solutions designed to scale across federated networks of hospitals, ensuring multi-tenancy, high availability, and performance across hybrid cloud environments.

  • Enable Agentic Workflows: Design data access patterns and metadata layers specifically optimized for AI agents, allowing them to autonomously discover, query, and reason over structured and unstructured datasets.

  • Schema & API Ownership: Author and maintain entity-relationship diagrams (ERDs), data dictionaries, and API specifications across multiple technologies (Relational, NoSQL, Vector Databases).

  • Data Quality & Traceability: Implement automated solutions to monitor data quality and lineage with strict traceability back to source systems, ensuring "ground truth" for agentic evaluations.

  • Technical Advocacy: Educate engineering and clinical teams on data modeling standards, governance, and best practices for maintaining data integrity in a HIPAA-regulated environment.

Experience & Qualifications
  • Education: Bachelor's Degree in Computer Science, Health Informatics, or a related field.

  • Professional Experience: 7+ years in data architecture or enterprise modeling, with significant experience in the healthcare or life sciences domain.

  • Modeling Mastery: Expert-level knowledge of 3NF, Dimensional (Star Schema), and Data Vault 2.0 modeling techniques.

  • Advanced SQL & Python: Exceptional SQL skills for complex analytical environments and proficiency in Python for data profiling and debugging.

  • Technology Strategy: Ability to articulate the trade-offs between RDBMS, MPP, and NoSQL technologies, and experience implementing Master Data Management (MDM) solutions.

  • Interoperability Standards: Deep familiarity with HL7, FHIR, and Epic/Cerner data structures.

  • Tools: Proficiency with modeling tools such as Erwin, Vertabelo, or Lucidchart.

Bonus Points
  • AI Data Engineering: Experience with Vector databases (e.g., Pinecone, Weaviate, or pgvector) or Graph databases to support RAG and agentic memory.

  • Cloud Architecture: Hands-on experience with GCP (BigQuery, Vertex AI) or AWS healthcare-native services.

  • Specialized Clinical Data: Direct experience working with EHR, OMOP, DICOM, genomic data models, or longitudinal patient records.

#LI-BL1
Chi: $140,000-$190,000

NYC/SF: $150,000-$200,000

The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.

Additionally,for remote roles open to individuals in unincorporated Los Angeles - including remote roles-Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.