Data Coordinator

Careaccess; United States; On-site; USD 55,000 - 75,000; Full time

Job summary

Care Access is seeking a Data Coordinator to ensure study data is accurate, complete, and accessible across our site network. You will work within a centralized data coordination team to protect data integrity and support our mission to make clinical trials more accessible.

Responsibilities include source data quality control, EDC/CRF transcription, visit‑to‑entry reconciliation, and proactive query follow‑up to keep records inspection‑ready.

Qualifications

• Ability to ensure data accuracy and completeness across multiple data sources.
• Familiarity with clinical data standards and EDC/CRF systems.
• Strong attention to detail and documentation practices.

Responsibilities

• Review source data for completeness and consistency with protocol.
• Reconcile visit documentation with required data points and source records.
• Enter study data into Sponsor EDC/CRF systems accurately and on time.
• Manage EDC queries from sponsors and monitors, and route unresolved items for clarification.

Skills

Data integrity

Quality control

EDC/CRF

Query management

Study coordination

Job description

About Care Access

Care Access is working to make the future of health better for all. With hundreds of research locations, mobile clinics, and clinicians across the globe, we bring world‑class research and health services directly to communities that often face barriers to care. We are dedicated to ensuring that every person has the opportunity to understand their health, access the care they need, and contribute to the medical breakthroughs of tomorrow.

With programs like Future of Medicine , which makes advanced health screenings and research opportunities accessible to communities worldwide, and Difference Makers , which supports local leaders to expand their community health and wellbeing efforts, we put people at the heart of medical progress. Through partnerships, technology, and perseverance, we are reimagining how clinical research and health services reach the world. Together, we are building a future of health that is better and more accessible for all.

To learn more about Care Access, visit www.CareAccess.com .

How This Role Makes a Difference

Data Coordinators play an important role in clinical research by helping ensure study data is accurate, complete, and available when needed. As part of a centralized data coordination team, this role helps protect data integrity, and support Care Access' mission to make clinical trials more accessible to participants everywhere.

Through source data quality control, accurate EDC/CRF transcription, visit‑to‑entry reconciliation, and proactive query follow‑up, Data Coordinators help keep study records reliable and inspection‑ready. By catching discrepancies early and helping move issues to resolution, this role contributes to smooth study operations across the Care Access site network.

How You'll Make An Impact

Site‑Level Quality Control:

Review source data collected during clinic visits and work with clinical staff to clarify or resolve discrepancies before information is entered into Sponsor EDC/CRF systems. Responsibilities include:

• Reviewing source records for completeness, internal consistency, and required good documentation practices.
• Identifying missing data, incomplete fields, missing signatures, or other potential documentation issues.
• Reviewing source records for consistency with protocol requirements and study workflows.
• Documenting quality control activities in the approved Care Access system and tracking items through to resolution.

Data Reconciliation:

Reconcile study data against supporting documentation to make sure required source records are available, complete, and aligned with study expectations. Responsibilities include:

• Confirming availability of required source materials, including lab reports, ECGs, imaging reports, and other visit‑related records.
• Reconciling visit documentation against required study data points and expected source records.
• Maintaining and reconciling adverse event information, informed consent logs, protocol deviation logs, and other study tracking tools.
• Identifying missing or inconsistent documentation and tracking items through to completion or resolution.

EDC/CRF Data Entry:

Enter study data into Sponsor EDC/CRF systems accurately and on time, using source documentation and study guidance to support reliable trial records. Responsibilities include:

• Entering clinical research data in accordance with study requirements, Sponsor expectations, and applicable completion guidelines.
• Completing data entry within required study timelines and operational expectations.
• Verifying entered data against applicable source documentation before submission or completion.
• Applying study‑specific EDC/CRF instructions consistently across assigned studies and visits.

Query Management:

Manage EDC queries and monitor follow‑up items by reviewing, routing, and responding, and escalating items to keep data issues moving toward closure. Responsibilities include:

• Reviewing EDC queries generated by Sponsors, CROs, monitors, and EDC systems.
• Resolving queries directly when responses are supported by existing source documentation.
• Routing queries that require source clarification, clinical interpretation, investigator assessment, or input from additional site team members.
• Entering approved query responses into the EDC and monitoring open or ageing queries through resolution.
• Following up with site personnel when additional input is required and escalating unresolved queries in a timely manner.
• Reviewing monitor follow‑up letter items and coordinating with site staff, where required, to support timely resolution.
• Reporting monitor follow‑up items as quality issues in the Care Access QMS, as applicable.

Study and Site Coordination:

Work with study teams and site personnel to keep data workflows organized, address open items, and maintain alignment with protocol and Sponsor expectations. Responsibilities include:

• Maintaining awareness of assigned study protocols, study‑specific requirements, and data e