Job-Oriented Clinical Data Management (CDM) Training & Certification Course with Placement Assistance

Build a strong foundation by understanding:

• The history, scope, and importance of Clinical Data Management
• Key CDM terminology and industry concepts
• The complete clinical trial and data management lifecycle
• The role of CDM professionals in ensuring patient safety and data integrity

Develop a clear understanding of how clinical research operates:

• Clinical trial phases (Phase I to Phase IV)
• Drug development process and study lifecycle
• Roles and responsibilities of Sponsors, Investigators, Ethics Committees, and CROs
• Essential clinical research documentation

Learn how clinical data is captured efficiently and accurately:

• Introduction to Paper CRFs and Electronic CRFs (eCRFs)
• Principles of effective and user-friendly CRF design
• Designing logical forms to minimize site errors and improve data quality

Gain practical exposure to clinical database development:

• Design databases based on study protocols
• Create edit checks and validation rules
• User Acceptance Testing (UAT) concepts and execution
• Ensure data consistency and quality through validation processes

Understand how data flows throughout a clinical study:

• Data entry workflows and double data entry procedures
• Data collection, tracking, and reconciliation processes
• Handling external data sources such as laboratory, ECG, and imaging data

Master one of the most critical aspects of CDM:

• Identifying data discrepancies and inconsistencies
• Generating and managing Data Clarification Forms (DCFs)
• Query generation, tracking, resolution, and closure procedures
• Effective communication with investigative sites

Learn techniques used to maintain high-quality clinical datasets:

• Data review and discrepancy management
• Running edit checks and consistency reviews
• Source Data Verification (SDV) concepts
• Handling missing, inconsistent, or incomplete data

Develop expertise in standardized clinical coding practices:

• Coding adverse events using MedDRA
• Coding concomitant medications using WHO Drug Dictionary
• Ensuring consistency and regulatory compliance in coded data

Understand globally accepted data standards used in clinical research:

• Introduction to CDISC standards and their significance
• Fundamentals of SDTM (Study Data Tabulation Model)
• Data standardization for regulatory submissions

Get hands-on exposure to commonly used clinical data platforms:

• Overview of major Electronic Data Capture (EDC) systems
• Understanding audit trails, database lock, and user roles
• Navigating production environments and clinical databases

Build a strong understanding of global regulatory expectations:

• ICH-GCP (Good Clinical Practice) guidelines
• US FDA 21 CFR Part 11 requirements
• Data integrity, electronic records, and regulatory compliance

Apply your learning through real-world scenarios:

• Work on simulated end-to-end clinical studies
• Manage realistic data discrepancies under project timelines
• Solve industry-based case studies across various therapeutic areas

Prepare confidently for your job search with:

• Professional resume creation and optimization
• LinkedIn profile enhancement
• HR and technical mock interview sessions
• Placement preparation and career guidance