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 6-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
Click any row to expand detailsIntroduction to clinical research, drug development process, clinical trial phases, GCP overview, career opportunities
Key Topics & Modules
SAS environment, variables, data types, libraries, import & export data
Key Topics & Modules
DATA step, PROC step, conditional statements, loops, functions
Key Topics & Modules
Macros, SQL in SAS, debugging, performance optimization
Key Topics & Modules
Introduction to CDISC, SDTM standards, ADaM standards, Define.xml
Key Topics & Modules
Tables, listings, figures, statistical reporting
Key Topics & Modules
SAS validation, QC programming, error identification, regulatory compliance
Key Topics & Modules
End-to-end clinical SAS project, documentation, resume building, interview preparation
Key Topics & Modules
Choose one: Biostatistics & Statistical Programming Track, Clinical Data Management Track, or Regulatory Submissions & Validation Track
Key Topics & Modules
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 & Technologies
Gain hands-on proficiency with the actual software, platforms, databases, and computational frameworks standard across leading healthcare and research organizations.
Capstone Projects
Apply your learning to end-to-end, industry-standard portfolio projects modeled on real-world pharmaceutical, clinical, and health-tech workflows.
CDISC SDTM Dataset Conversion Pipeline
Transform raw clinical data into CDISC-compliant SDTM domains (DM, AE, VS, LB) with Define.xml standards.
ADaM Analysis Dataset Development
Program subject-level (ADSL) and efficacy analysis datasets using SAS macros for clinical trial reporting.
Clinical Trial TLF Generation
Generate regulatory-compliant Tables, Listings, and Figures (TLFs) using SAS PROC REPORT and PROC SGPLOT.
Macro Automation & Regulatory QC Package
Develop automated SAS macro validation suites and double-programming routines for submission readiness.
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
Program Cohorts
Join a structured, mentor-led cohort with live hands-on SAS programming, CDISC SDTM/ADaM standards, and real-world clinical datasets.
6 Months
Live Online Classes
Live Regular classes on Saturday & Sunday (Choose either 10:00 AM - 12:00 PM or 7:00 PM - 10:00 PM)
Monday to Friday round-the-clock mentor assistance
Strictly capped at 10 students per batch for personalized attention
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.