Clinical Data Coordinator Job Description

A Clinical Data Coordinator turns what happened to a trial participant into records a sponsor can analyze and an inspector can trace. The work starts in the chart. Clinic notes, pathology and radiology reports, lab printouts and patient questionnaires are the source documents; the coordinator reads them against the protocol's schedule of assessments, pulls the values each electronic case report form (eCRF) asks for, and enters them in the study's electronic data capture (EDC) system, whether that is Medidata Rave, Veeva Vault CDMS or a REDCap build for an investigator-initiated study. Emory University's classification for the role, written for the clinical trials office of its Winship Cancer Institute, describes that sequence plainly: review the medical record, extract data for industry, cooperative group and investigator-initiated protocols, and enter it within the timelines sponsors set.

Entry is only half the job. The other half is defending each value once it lands. Edit checks fire inside the EDC, and data managers at the sponsor or contract research organization (CRO) raise queries: a visit date outside its window, a lab result missing its unit, a concomitant medication with no start date, an adverse event graded on one page and ungraded on another. The coordinator goes back to the source, corrects the field or answers with the document that supports it, and closes the query before it ages into a monitoring finding. Emory's description also puts serious adverse event tracking, monitoring visit preparation and internal quality control audits on the same desk.

The GCP text behind this work changed in 2025. FDA published ICH E6(R3) Good Clinical Practice as final guidance in September 2025, and its records section reads like a coordinator's checklist. Source records should be attributable, legible, contemporaneous, original, accurate and complete. Changes to them should be traceable, should not obscure the original entry, and should be explained through an audit trail where needed. The guideline also says unnecessary transcription steps between the source record and the data acquisition tool should be avoided, a line that bears directly on any site still copying values by hand from the health record into the eCRF.

The title appears on both sides of a trial. At a site, the coordinator works in an academic medical center, cancer center or hospital research office, next to the clinical research coordinators who run consent and visits. At a CRO or sponsor, someone with the same title may sit inside data management, building listings, reconciling the EDC against external transfers such as central lab files, and issuing queries instead of answering them. O*NET's job titles file reflects that split, listing Clinical Data Coordinator under both Clinical Data Managers and Clinical Research Coordinators.

The measures of the job are ones nobody outside the study sees: how many days pass between a visit and its data entry, how long queries stay open, how many findings appear in a monitoring letter. A coordinator who gets entries right the first time keeps the query queue short, and a short queue is what a data manager wants to see as database lock approaches.

Emory University's classification for Clinical Research Data Coordinator I accepts any one of four routes: a high school diploma or GED with three years of administrative support experience; two years of college in a scientific, health-related or business administration program plus a year of administrative or customer service work; licensure as a practical nurse with a year of administrative support or practical nursing experience; or a bachelor's, master's, MD or PhD in a scientific, health-related or business field. Emory also makes employment contingent on clinical research orientation and training such as CITI and HIPAA courses, plus system training.

As a rough guide, candidates arrive with a bachelor's degree in biology, public health, health information management or nursing, or with a few years in medical records, a physician practice or a hospital registration desk. The records route has a practical logic: someone who has spent years reading charts already knows where a discharge summary hides the date of a procedure.

What the job asks of a new hire

• Medical terminology deep enough to read a pathology report, a radiology impression and a medication administration record without guessing
• Working knowledge of at least one EDC platform and of eCRF completion guidelines, the sponsor's field-by-field instructions for each form
• Familiarity with GCP under ICH E6(R3), especially the sections on source records, audit trails and data corrections
• Adverse event basics: onset and resolution dates, severity grading such as CTCAE in oncology, and the difference between an adverse event and a serious one
• Spreadsheet discipline for query trackers, visit logs and data entry lag reports
• Clear written English, because a query response is read by a stranger who needs to close it without a phone call

Credentials worth pursuing

No license is required. Data-side coordinators can look at the Society for Clinical Data Management's Certified Clinical Data Associate (CCDA) early on and its Certified Clinical Data Manager (CCDM) later. Site-side coordinators can look at the Association of Clinical Research Professionals' ACRP Certified Professional (ACRP-CP) or Certified Clinical Research Coordinator (CCRC), or the Society of Clinical Research Associates' Certified Clinical Research Professional (CCRP). Check each body's current eligibility rules before applying.

What sets candidates apart

Candidates can point to evidence of sustained accuracy: a record of low query rates, an audit that went cleanly, or a reconciliation project finished on deadline. Exposure to oncology or cooperative group trials is also worth listing, since those forms are dense and follow-up can run for years.

BLS publishes no employment count or projection for clinical data coordinators. The nearest federal figures are O*NET's outlook data for Data Scientists, the occupation that contains Clinical Data Managers: 275,600 workers in 2025, growth rated much faster than average (7% or higher) for 2025 to 2035, and about 24,800 openings a year on average. Those numbers describe data scientists and analysts as a group, so read them as the direction of the larger field, not a count of coordinator jobs.

The ladder inside a site is visible in Emory's classifications. A Data Coordinator I enters data and supports audits. A Data Coordinator II takes the complex interventional trials, including multi-center and investigator-initiated studies, and helps train the level below. The Supervisor, Clinical Research Data Team oversees both, runs double-data entry and quality management, writes study data management plans, and manages data audits and inspections. Next steps beyond the site include clinical data management at a CRO or sponsor, monitoring work as a clinical research associate, or a technical turn toward database build, SAS or R programming.

FDA has asked for public input on AI in early-phase trials. On April 29, 2026, FDA published a request for information on a proposed pilot program to assess how AI-enabled technologies can improve efficiency, speed and quality of decision-making in early-phase clinical trials. The agency later extended the comment period to June 29, 2026, and that period has since closed. Both Federal Register notices describe the pilot as proposed.

The Society for Clinical Data Management's eSource Implementation Consortium filed comments on June 16, 2026 that are worth a coordinator's read. Its proposed first-phase priority list for the pilot puts risk-based data management and audit trail review first and query management and data cleaning automation third. It argues the pilot should test whether AI-enabled oversight catches implausible patterns and cross-source inconsistencies, not simply whether it reduces query volume, and it cites TransCelerate work showing that only a small percent of eCRF records change after EDC entry. It also lists, among the roles an effective pilot partnership connects, a site clinical research informatics lead who manages the EHR-to-EDC integration, validates the data pipeline and serves as the site's technical contact for the study.

The consortium's list includes query management and data cleaning, work that sits on a coordinator's desk, and the same comments place responsibility for source data with site staff. That still leaves the site with the call a coordinator makes when a lab value fails an edit check: transcription slip, unit problem or real clinical event. Coordinators who learn how an EHR-to-EDC feed maps fields, how to review an audit trail, and how risk-based monitoring chooses what to check are building toward the informatics and data management jobs that sit one step up from the entry desk.

Dear Hiring Manager,

I am applying for the Clinical Data Coordinator opening in your clinical trials office. For the past two years I have been a data coordinator in the hematology research program at [Medical Center], where I am the primary data contact for four interventional studies: two industry-sponsored Phase II trials in Medidata Rave, one cooperative group study, and one investigator-initiated trial built in REDCap.

Before research, I spent three years in health information management, abstracting charts for a cancer registry. That background is why I move quickly through pathology reports and flow sheets, and why I treat the chart as the only source of truth. When a value is not documented, I do not enter it; I raise it with the research nurse and wait for the note.

The work I am proudest of came during a sponsor's interim analysis last spring. A cluster of queries showed that our site's dose modification dates did not match the pharmacy's dispensing records. I pulled every affected visit, built a side-by-side log of order dates, dispensing dates and administration dates, and found the forms had been completed from the order rather than the administration record. I walked the study team through the eCRF completion guidelines, corrected each entry with a documented reason, and we closed every query before the data cut. The monitor's next visit letter had no data findings for our site.

I have completed CITI Good Clinical Practice and human subjects training, I keep my own query tracker by aging bucket, and I am preparing for the CCDA exam. I would welcome a conversation about how I can support your studies.

Sincerely,

[Your Name]