Follow clinical-trial data the way a Clinical Data Coordinator does: from a case report form designed off the protocol, through a tested EDC database, edit checks and the query cycle, to reconciliation with safety data, CDISC SDTM-ready structure and database lock. It teaches the data-management process that Medidata Rave, Oracle InForm and every other EDC system implement; it is not vendor certification or button-by-button training for one system.
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What you will be able to answer
A study's EDC shows a visit date before the consent date, a systolic BP of 1200, an adverse event marked serious that has no matching case in the safety database, and a page the site corrected without a reason. The sponsor wants a soft lock in two weeks. What can you produce for the data manager?
A data-cleaning plan that classifies each issue as an edit-check hit, a manual-review finding or a reconciliation discrepancy; drafts a clear, non-leading query for each one addressed to the right site role; flags which issues block soft lock and which can carry over; identifies the audit-trail evidence the corrections must leave; and lists the lock-readiness checks still outstanding — without changing site data directly or inventing a protocol requirement.
One payment
₹99
The videos are free
Course outline
Concept 1
Concept 1 · Design a case report form from the protocol
Concept 2
After: crf-design
Before a single patient's data goes in, someone has to try to break the database on purpose.
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Concept 3
After: database-build-and-uat
A visit before consent, a blood pressure of 1200 — good edit checks catch them the moment they're typed.
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Concept 4
After: edit-checks-and-validation
A good data query asks the site a question — it never tells them what the answer should be.
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Concept 5
After: query-management
The same serious adverse event can live in two databases — and the trial isn't clean until they agree.
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Concept 6
After: crf-design
Regulators expect trial data in one standard shape, and that shape starts with how the form was designed.
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Concept 7
After: query-management, sae-and-external-data-reconciliation
Database lock is the moment the trial's data stops being editable — so everything else has to be finished first.
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16 candidates did not meet the course criteria.
As trials shift to risk-based monitoring, central monitors remotely analyze trial data across many sites to spot risks, trends, and data-quality issues, directing field CRAs to the sites that need on-site intervention. Not an entry-level role — you get here after 2–4 years as a CTA, CRA, or data coordinator. Desk-based and analytical: the high-autonomy alternative to CRA travel.
8 mapped employers
Explore path →Making clinical-trial data accurate, secure, and analysis-ready: CRF review, query generation and resolution, data cleaning, and database lock. Freshers enter through large IT/BPO hiring drives (TCS, Cognizant, Accenture) and global CROs (IQVIA, ICON, Parexel) — no coding needed at entry. Honest caveat: your clinical training gives little edge here; B.Pharm, life-science, and IT graduates compete equally, and software/SQL skills matter more than therapeutics.
10 mapped employers
Explore path →The sponsor's field liaison to hospital trial sites. You travel to sites to conduct Source Data Verification, audit protocol adherence, and monitor patient safety. Direct fresher entry is rare due to regulatory risk — the standard route is 1–2 years as a CTA or CRC first, then Junior CRA. Well-paid and high-autonomy, but monitoring travel of 50–80% is the defining lifestyle trade.
9 mapped employers
Explore path →Site-based trial coordination at hospitals and Site Management Organizations — the most direct use of your Pharm.D hospital exposure in clinical research. You screen and schedule trial participants, support informed consent, maintain the Investigator Site File, coordinate lab samples, and enter data into eCRFs. Your internship-year hospital network is often the hiring pipeline. A common springboard to CRA roles on the sponsor side.
9 mapped employers
Explore path →