Clinical SAS
Clinical SAS
Master Clinical SAS Programming for clinical trials by learning SAS programming, CDISC standards, SDTM, ADaM, TLF generation, clinical data analysis, validation, and regulatory reporting using real-world pharmaceutical datasets. A 6-month, fully online industry certification program with 8 modules, 8 industry projects, one 3-month elective track, and dedicated placement support.
This program page reflects our latest curriculum draft. Fees, faculty, and career-support details shown below are the ones on file in our admissions system — figures like guarantees or hiring-partner counts mentioned in course descriptions are illustrative and being finalized. Contact admissions for current details.
Program Details
Format: 6 months, 100% online, live cohorts, sessions recorded for later.
Guarantee: 180-day better-offer guarantee — a better offer within 180 days of completion, or a full refund, backed by a signed legal agreement before you pay.
Admissions process: Shortlist call → Aptitude test → Interview → Offer rollout.
Curriculum Outline
Clinical Research Foundations
Month 1Introduction to clinical research, drug development process, clinical trial phases, GCP overview, career opportunities
SAS Programming Fundamentals
Month 2SAS environment, variables, data types, libraries, import & export data
Base SAS Programming
Month 2DATA step, PROC step, conditional statements, loops, functions
Advanced SAS
Month 3Macros, SQL in SAS, debugging, performance optimization
CDISC Standards
Month 4Introduction to CDISC, SDTM standards, ADaM standards, Define.xml
Clinical Data Analysis
Month 5Tables, listings, figures, statistical reporting
Validation & Quality Control
Month 5SAS validation, QC programming, error identification, regulatory compliance
Capstone Project
Month 6 · PlacementEnd-to-end clinical SAS project, documentation, resume building, interview preparation
Elective Track
3 monthsChoose one: Biostatistics & Statistical Programming Track, Clinical Data Management Track, or Regulatory Submissions & Validation Track
Specialisation Tracks
Biostatistics & Statistical Programming Track
Focus areas: Advanced Statistical Programming, Biostatistics Methods in SAS, Statistical Reporting & Interpretation, Statistical Programming Playbook, Live Statistical Programming Simulation. Career roles: Biostatistics Programmer, Statistical Programmer, Clinical Data Analyst, Clinical SAS Programmer.
Clinical Data Management Track
Focus areas: CRF Design & Database Setup, Clinical Data Management Systems, Data Cleaning & Query Resolution, Data Management Plan Package, End-to-End Clinical Data Management Project. Career roles: Clinical Data Manager, Clinical Data Analyst, Pharmaceutical Data Analyst, SAS Programmer.
Regulatory Submissions & Validation Track
Focus areas: Define.xml & Submission Packages, Regulatory Submission Standards, Advanced Validation & QC Techniques, Regulatory Submission Dossier, End-to-End Regulatory Submission Project. Career roles: Clinical Data Validation Specialist, Clinical SAS Programmer, SAS Programmer, Statistical Programmer.
Tools You'll Use
Capstone Projects
Capstone Project
Apply everything end-to-end on a real clinical trial data analysis project: end-to-end Clinical SAS project work, documentation, project presentation & review, resume building, and interview preparation. Deliverable: capstone project solution plus job application kit.
Clinical Trial Data Analysis
Analyze a full clinical trial dataset end-to-end.
Patient Dataset Processing
Import, clean & process real patient data in SAS.
SDTM Dataset Creation
Build CDISC-compliant SDTM datasets.
ADaM Dataset Development
Develop analysis-ready ADaM datasets.
Clinical Reporting
Produce clinical trial summary reports.
TLF Generation
Generate Tables, Listings & Figures for a trial.
Clinical Data Validation
QC and validate clinical SAS programs.
Regulatory Submission Project
Prepare a regulatory-ready submission package.
Program Faculty

Dr. Kavya Iyer
Faculty, Clinical SAS
Dr. Kavya Iyer brings 10+ years of industry and teaching experience in SAS Programming & CDISC Standards.
Career Opportunities
What You'll Get
- ✓1:1 mentorship
- ✓Unlimited mock interviews
- ✓Resume & LinkedIn positioning
- ✓350+ hiring partner network
- ✓180-day better-offer guarantee — a better offer within 180 days of completion, or a full refund, backed by a signed legal agreement before you pay
- ✓Live cohort sessions recorded for later viewing
- ✓Capstone project solution plus job application kit
Who This Is For
- •Bachelor's degree in any discipline (life sciences, statistics, or computer science preferred)
- •Open to freshers, healthcare/IT professionals, and career switchers
- •Basic programming aptitude helpful but not required
Success Stories
Hear from our alumni who have successfully transitioned into rewarding Medivex AI careers.
Ready to start Clinical SAS?
Talk to admissions or download the full brochure to see the complete curriculum.











