SAS Clinicals Training
SAS Clinicals Training Online by Checkmate IT Tech offers a transformative journey, elevating your expertise and mastering essential skills. Position yourself for success in the dynamic field of Healthcare Technologies by enrolling today. Unlock new career opportunities!
- 10+ Courses
- 30+ Projects
- 400 Hours
Clinical Research Professionals: Perfect for those in clinical research positions who want to improve their ability to analyze and handle trial data more efficiently.
Biostatisticians: Designed for statisticians who wish to use SAS for statistical analysis of clinical trials and have a focus on healthcare or pharmaceuticals.
Data Managers: Ideal for data managers who handle the meticulous cleaning, administration, and reporting of clinical trial data.
Healthcare IT Professionals: Ideal for IT professionals looking to incorporate SAS into their data analytics operations in the healthcare industry.
Aspiring Clinical SAS Programmers: Designed for people who want to work in clinical data programming, this course gives students both basic and advanced SAS skills for clinical research.
Clinical SAS Programmer: In charge of developing analysis datasets, programming clinical trial data, and producing reports for regulatory submissions.
Biostatistician: A biostatistician examines data from clinical trials and offers statistical analysis for medication development and approval processes.
Clinical Data Analyst: Overseeing and evaluating data from clinical trials to guarantee precision, adherence, and useful insights.
Clinical Data Manager: Supervising the process of gathering and validating data for clinical studies to guarantee the integrity and quality of the data.
Regulatory Affairs Specialist: Producing data reports using SAS for regulatory filings with organizations such as Health Canada or the FDA.
Healthcare Data Scientist: Using SAS expertise to evaluate huge healthcare datasets and offer suggestions for enhancing patient outcomes is what healthcare data scientists do.
These positions, which offer excellent pay and opportunities for advancement in the healthcare sector, are highly sought after in the pharmaceutical, biotechnology, and contract research organizations (CROs) in the USA and Canada.
- Overview of SAS and its applications in clinical research
- Introduction to clinical trials and clinical data management
- Basics of clinical study design and trial phases
- Understanding datasets, variables, and data types
- Importing and exporting data in SAS
- Data step programming essentials
- Sorting, merging and concatenating datasets
- Creating new variables and formats
- Handling missing values and outliers
- Data validation and quality checks
- Introduction to statistical concepts in clinical research
- Descriptive statistics and summary tables
- Generating clinical reports using SAS
- Using PROC MEANS, PROC FREQ, PROC UNIVARIATE
- Exploratory data analysis for clinical trials
- Advanced data step techniques
- Arrays, loops, and conditional processing
- Retaining and merging complex datasets
- Macro programming basics
- Debugging and error handling in SAS
- Introduction to CDISC standards (SDTM and ADaM
- Mapping raw clinical data to SDTM datasets
- Creating ADaM datasets for analysis
- Metadata and documentation standards
- Regulatory submission requirements
- Hands-on exercises with clinical trial datasets
- Overview of statistical methods in clinical trials
- Hypothesis testing and p-values
- Analysis of efficacy and safety data
- PROC GLM, PROC LOGISTIC, and PROC MIXED
- Generating regulatory-compliant statistical outputs
- Creating tables, listings, and figures (TLFs)
- Generating clinical study reports using SAS
- Graphical procedures for clinical data visualization
- Customizing outputs for regulatory submissions
- Documentation and reproducibility
- Hands-on exercises with clinical reporting
- Real-world clinical trial case studies
- Preparation for SAS certifications and career guidance
- Final project: Complete clinical dataset analysis and reporting
It is a program that teaches SAS programming skills specifically for managing and analyzing clinical trial data.
Graduates and professionals in clinical research, pharmacy, biotechnology, life sciences, or data analysis roles.
Basic SAS knowledge is helpful, but the course starts with foundational concepts for beginners.
Topics include data manipulation, clinical data analysis, CDISC standards, statistical methods, and reporting in SAS.
SDTM (Study Data Tabulation Model) and Adam (Analysis Data Model) are standardized formats for clinical trial data used in regulatory submissions.
Common roles include SAS Clinical Programmer, Clinical Data Analyst, Biostatistician, and Clinical SAS Developer.
Yes. Hands-on exercises with real clinical datasets are included throughout the training.
SAS software, including Base SAS and SAS Clinical modules, is required for exercises and projects.
Yes. Pharmaceutical and biotech companies worldwide increasingly rely on SAS for clinical data analysis and regulatory reporting.
Yes. It teaches CDISC standards and regulatory-compliant reporting methods used in clinical trials.
We currently offer online sessions with flexible weekday/weekend batches for 8 weeks. All sessions are recorded. You’ll have access to the recordings, along with support from instructors and peers in our learning portal.
You can register via our website https://checkmateittech.com/, or reach out to our support teams via phone, email, or WhatsApp. We’ll help you with batch schedules and payment options.
Email info@checkmateittech. Call Us +1-347-408-2054
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Job opportunities in USA and Canada
Clinical SAS Programmer: In charge of developing analysis datasets, programming clinical trial data, and producing reports for regulatory submissions.
Biostatistician: A biostatistician examines data from clinical trials and offers statistical analysis for medication development and approval processes.
Clinical Data Analyst: Overseeing and evaluating data from clinical trials to guarantee precision, adherence, and useful insights.
Clinical Data Manager: Supervising the process of gathering and validating data for clinical studies to guarantee the integrity and quality of the data.
Regulatory Affairs Specialist: Producing data reports using SAS for regulatory filings with organizations such as Health Canada or the FDA.
Healthcare Data Scientist: Using SAS expertise to evaluate huge healthcare datasets and offer suggestions for enhancing patient outcomes is what healthcare data scientists do.
These positions, which offer excellent pay and opportunities for advancement in the healthcare sector, are highly sought after in the pharmaceutical, biotechnology, and contract research organizations (CROs) in the USA and Canada.
