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Cdisc Sdtm

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Choose a category below to begin. Each category opens into focused areas, and selecting a focused area lets you pick your final internship variant (your preferred track, mode and duration).

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Showing 1–20 of 50

AI SDTM Dataset Automation Research
Internship automating SDTM dataset creation with AI that maps raw collection to standard domains. Hands-on work runs alongside theory modules.
5 focused areasClick to view more details →
Machine Learning SDTM Mapping Validation
Internship validating SDTM mappings with ML comparison against specifications and prior studies. Applied sessions reinforce each technique.
5 focused areasClick to view more details →
AI CDISC Terminology Harmonization Research
Internship harmonising controlled terminology across studies with AI matching to CDISC dictionaries. Includes mentored hands-on analysis sessions.
5 focused areasClick to view more details →
AI SDTM Conformance Checking Research
Internship checking SDTM conformance with AI review that catches issues before regulators do. Interns work with realistic case datasets.
5 focused areasClick to view more details →
AI ADaM Dataset Generation Research
Internship building analysis-ready clinical datasets with AI automation aligned to CDISC ADaM structure. Interns practise on genuine research problems.
5 focused areasClick to view more details →
AI CDASH to SDTM Transformation Research
Internship transforming collected clinical data into SDTM structure with AI mapping and verification. Applied sessions reinforce each technique.
5 focused areasClick to view more details →
AI Regulatory Submission Data Package Research
Internship assembling submission data packages with AI checks for completeness and conformance. Practical exercises anchor every concept taught.
5 focused areasClick to view more details →
AI SDTM for Oncology Trials Research
Internship applying SDTM standards to oncology trials with their tumour response domain specifics. Interns practise on genuine research problems.
5 focused areasClick to view more details →
AI SDTM Data Quality Management Research
Internship managing SDTM data quality with AI detection of inconsistency across domains. Mentor-led sessions build applied skill.
5 focused areasClick to view more details →
AI CDISC Standard Evolution Research
Internship studying how CDISC standards evolve and what each revision means for study teams. Guided practice with real datasets throughout.
5 focused areasClick to view more details →
SDTM Domain Mapping Optimization Research
Investigate efficient strategies for mapping complex clinical trial domains to appropriate SDTM structures and identify optimization patterns.
5 focused areasClick to view more details →
CDISC Controlled Terminology Validation Framework
Develop and test comprehensive validation frameworks for CDISC controlled terminology usage across multiple therapeutic areas.
5 focused areasClick to view more details →
SDTM Relationship Variables Implementation Study
Research effective implementation patterns for SDTM relationship variables across parent and supplemental domains.
5 focused areasClick to view more details →
Real World Data SDTM Integration Research
Explore methodologies for integrating real world data sources into SDTM compliant datasets and identify standardization challenges.
5 focused areasClick to view more details →
SDTM Medical Coding Automation Study
Investigate automation approaches for medical coding procedures in SDTM adverse event and diagnosis domains.
5 focused areasClick to view more details →
CDISC Metadata Repository Design Research
Design and evaluate CDISC metadata repository systems for managing SDTM define-xml specifications and traceability.
5 focused areasClick to view more details →
SDTM Cardiovascular Trial Data Harmonization
Research specialized SDTM mapping techniques and domain requirements specific to cardiovascular clinical trial datasets.
5 focused areasClick to view more details →
Wearable Device Data SDTM Standardization
Investigate standardization approaches for integrating wearable and remote monitoring device data into SDTM compliant structures.
5 focused areasClick to view more details →
SDTM Pediatric Trial Adaptation Research
Explore SDTM domain adaptations and special considerations required for pediatric clinical trial data standardization.
5 focused areasClick to view more details →
CDISC Define-XML Automated Generation Study
Develop and test automated tools and algorithms for generating compliant Define-XML documentation from SDTM datasets.
5 focused areasClick to view more details →