SAS Programming for Clinical Trials
Learn SAS programming specifically for clinical trial data analysis and reporting.
Duration
10 Weeks
Course Fee
₹6,499
Course Overview
This comprehensive course teaches SAS programming with a specific focus on clinical trial applications. You'll learn to create analysis datasets, generate tables, listings, and figures (TLFs), implement CDISC standards, and develop programs for regulatory submissions. Perfect for those looking to become SAS programmers in the pharmaceutical industry.
Key Highlights
- SAS programming fundamentals and syntax
- Data manipulation using DATA steps and PROC steps
- SAS macros and advanced techniques
- CDISC SDTM dataset creation and validation
- ADaM dataset development for analysis
- TLFs generation and regulatory reporting
Course Syllabus
SAS Programming Environment and Navigation
Introduction to the SAS software interface used for statistical programming.
Importing, Cleaning, and Manipulating Data Sets
Techniques to prepare raw clinical data for analysis.
Descriptive and Inferential Statistical Procedures
Methods to summarize data and infer conclusions from clinical trials.
Data Visualization and Graph Generation
Creating charts and plots to communicate findings effectively.
Adverse Event and Efficacy Data Analysis
Examining safety and effectiveness measures within clinical study data.
Generation of Clinical Study Reports (CSR)
Automating the production of reports for regulatory submission.
Macro Programming and Code Reusability
Enhancing SAS code efficiency through automation tools.
Merging, Appending, and Transposing Data Sets
Managing complex datasets through advanced data manipulation.
Quality Control and Program Validation
Ensuring accuracy and compliance of SAS programs.
Creation of Data Listings, Tables, and Figures
Developing standardized outputs for clinical documentation.
Automation Techniques in SAS
Reducing manual effort through scripting and batch processing.
SDTM, ADaM Mapping, and CDISC Compliance
Applying clinical data standards for regulatory submissions.
Preparing Submission Packages for Regulatory Agencies
Compiling data and reports to meet global regulatory requirements.
Advanced Statistical Modeling
Using sophisticated analyses to support clinical insights.
Industry-Based Case Studies and Projects
Hands-on practice with real-world clinical research data using SAS.
Career Opportunities
SAS Programmer
Develop and maintain clinical trial datasets and outputs for analysis and reporting.
Average Salary: ₹5–10 LPA
Clinical SAS Programmer
Work with clinical research teams to analyze and validate clinical data using SAS.
Average Salary: ₹6–12 LPA
Statistical Programmer
Collaborate with biostatisticians to perform data analysis and generate reports.
Average Salary: ₹6–14 LPA
CDISC Programmer
Implement SDTM and ADaM datasets compliant with FDA and EMA standards.
Average Salary: ₹7–15 LPA
Biostatistical Programmer
Perform statistical analysis, reporting, and data validation for clinical studies.
Average Salary: ₹6–13 LPA
Eligibility
- Graduates in Life Sciences, Statistics, Pharmacy, or Computer Science
- Basic understanding of clinical research concepts (recommended)
- Fundamental programming or logical thinking skills
- No prior SAS experience required — we start from basics
Certification
Upon successful completion, students will receive a Certificate in SAS Programming for Clinical Trials from Genez Learnings LLP. The course prepares learners for roles in pharma, CROs, and biotech industries.
What Our Students Say
Ravi S
This course helped me understand SAS from scratch. The real-world examples and CDISC modules were game changers!
Divya P
The SAS programming course was well-structured and industry-relevant. I secured an internship at a CRO after completion!
Karan M
Loved the practical assignments — the ADaM and TLF sessions were especially useful for my current role.
Ready to Transform Your Career?
Join hundreds of professionals who have successfully transitioned into clinical data management roles with our expert-led training programs.