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.

3 Months
Duration
₹40,000
EMI available over 6 months
Life Sciences, Statistics, or Computer Science graduates
Eligibility
Up to 15% for early enrollment
Scholarship

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

M1

Clinical Research Foundations

Month 1

Introduction to clinical research, drug development process, clinical trial phases, GCP overview, career opportunities

M2

SAS Programming Fundamentals

Month 2

SAS environment, variables, data types, libraries, import & export data

M3

Base SAS Programming

Month 2

DATA step, PROC step, conditional statements, loops, functions

M4

Advanced SAS

Month 3

Macros, SQL in SAS, debugging, performance optimization

M5

CDISC Standards

Month 4

Introduction to CDISC, SDTM standards, ADaM standards, Define.xml

M6

Clinical Data Analysis

Month 5

Tables, listings, figures, statistical reporting

M7

Validation & Quality Control

Month 5

SAS validation, QC programming, error identification, regulatory compliance

M8

Capstone Project

Month 6 · Placement

End-to-end clinical SAS project, documentation, resume building, interview preparation

Elective

Elective Track

3 months

Choose 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

Base SASAdvanced SASSAS StudioPROC SQLCDISCSDTMADaMDefine.xmlMicrosoft ExcelClinical Trial DatasetsClinical Reporting

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

Dr. Kavya Iyer

Faculty, Clinical SAS

Dr. Kavya Iyer brings 10+ years of industry and teaching experience in SAS Programming & CDISC Standards.

Career Opportunities

Clinical SAS ProgrammerBiostatistics AnalystData Analyst

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.

Ananya Sharma

Ananya Sharma

Clinical Research Associate

The Clinical Research program gave me the exact hands-on skills the industry demanded. Placed as CRA within a month of graduating.

Placed at
IQVIA
Package
₹ 5.8 LPA
Rahul Verma

Rahul Verma

Clinical SAS Programmer

Hands-on SAS programming training with real clinical trial datasets made all the difference in clearing my corporate interviews.

Placed at
Parexel
Package
₹ 6.2 LPA
Amit Patel

Amit Patel

Healthcare AI Analyst

The AI in Healthcare curriculum helped me transition from life sciences to advanced healthcare data analytics smoothly.

Placed at
Fortrea
Package
₹ 7.0 LPA
Meera Joshi

Meera Joshi

Clinical Research Associate

The Clinical Research program gave me the exact skills the industry demanded. Placed within a month of graduating.

Placed at
IQVIA
Package
₹ 6.9 LPA
Vikram Singh

Vikram Singh

Clinical SAS Programmer

Hands-on clinical data management and GCP compliance modules prepared me for top CRA interviews.

Placed at
Parexel
Package
₹ 4.5 LPA
Ananya Das

Ananya Das

Medical Coder

Faculty support and placement guidance were outstanding throughout the program.

Placed at
Optum
Package
₹ 5.3 LPA
Priya Nair

Priya Nair

Medical Coder Specialist

Faculty support and 1-on-1 mock interview guidance were outstanding throughout the course and placement phase.

Placed at
ICON plc
Package
₹ 4.8 LPA
Neha Reddy

Neha Reddy

Bioinformatics Analyst

Guaranteed internship provided real-world lab exposure that boosted my confidence and landed me a full-time position.

Placed at
Medpace
Package
₹ 5.5 LPA
Aarav Mehta

Aarav Mehta

Clinical Research Intern

The Clinical Research program provided structured modules, hands-on dataset practice, and excellent career guidance.

Placed at
Demo Health
Package
₹ 5.0 LPA
Ananya Rao

Ananya Rao

Junior Medical Coder

The Medical Coding curriculum covered ICD-10-CM and CPT guidelines with real claim scenarios.

Placed at
Demo Care
Package
₹ 4.5 LPA
Rohan Kapoor

Rohan Kapoor

SAS Trainee

Clinical SAS programming labs and CDISC SDTM/ADaM mapping sessions prepared me thoroughly.

Placed at
Demo Analytics
Package
₹ 5.5 LPA
Sneha Kapoor

Sneha Kapoor

Healthcare AI Engineer

The AI in Healthcare course combined machine learning theory with applied DICOM imaging pipelines.

Placed at
Demo MedTech
Package
₹ 6.0 LPA

Ready to start Clinical SAS?

Talk to admissions or download the full brochure to see the complete curriculum.