27 tasks, each one witnessed by the sources that watched the job — and behind every one, a prompt you can use tonight.
You split time between patient-facing work and paperwork. Mornings often have patient screening, informed consent, and dosing or device dispensing. You document vitals, adverse events, and specimen collections at the bedside or clinic.
Afternoons go to regulatory paperwork, data entry into Excel or Access, updating enrollment trackers, and sponsor meetings by Outlook. Expect phone calls about participant follow-up, preparing for audits, and ordering study drugs or supplies before the day ends.
Frequent tools are Microsoft Outlook for scheduling and sponsor emails, Excel for enrollment and tracking, and Access for study databases. Word is for regulatory documents and reports; Project helps plan start-up and close-out timelines.
For analysis or managing complex datasets you may see SAS or IBM SPSS Statistics, especially when supporting the biostatistics team. Learn basic Excel functions, and how to export clean data for SAS/SPSS.
The Bureau of Labor Statistics reports 108,690 people employed in this occupation. Median pay is $167,220 per year; the lowest tenth is $79,710 and the top tenth is $316,850 (BLS).
Pay varies with employer type (academic, hospital, CRO), region, and whether you handle budgeting or sponsor solicitation. Clinical trial management duties and supervisory roles push pay higher.
A coordinator runs the site: recruiting, consenting, dosing, daily data entry, specimen handling, and local regulatory files. You work on-site with participants and the research team.
A CRA usually works for the sponsor or CRO monitoring multiple sites, reviewing your records, and ensuring protocol compliance. CRAs travel to sites and focus on audits and monitoring rather than daily participant care.
Use AI for drafting non-regulatory text: recruitment ad templates, meeting summaries, or checklist reminders. Always verify facts, regulatory language, and patient-facing content; AI can hallucinate specifics. Treat AI output as a first draft you must review.
Never use AI to generate consent forms, regulatory submissions, or medical decisions without a supervisor and legal/regulatory review. Keep patient data out of public AI tools unless your organization has an approved, HIPAA-compliant AI system.
Attention to detail for accurate documentation, adverse event reporting, and regulatory submissions is essential. You must track enrollment, dropouts, specimen labels, and study drug logistics reliably.
Communication skills matter for consenting, participant safety monitoring, and sponsor meetings. Basic data skills—Excel, Access, and exporting clean data for SAS/SPSS—help you support analysis and audits.