Clinical SAS Analytics

Work with the latest industry tools and learn how to apply them in the domain of Clinical SAS Analytics.


Why Clinical SAS Analytics

With the increasing demand for medicines, there is a building pressure of pharmaceutical research and development and using computational tools is automating many of these processes and making them more efficient. Clinical Research is one such growing industry that requires trained specialists in Bio-IT.

In This Course

Students will be trained on the Advanced concepts of SAS such as set operators, statistical and analytical procedures. They gain a clear understanding of Automatic macro variables within the SAS Macro Language, macro functions, data-driven programs, macro debugging and displaying values using macro variables. They gain better understanding of the  structure and purpose of the CDISC, SDTM and ADAM data model in tabulating and extraction of clinical data for the purpose of clinical reporting to FDA.

The Sollers Advantage

Our Clinical SAS Analytics program is taught by faculty experienced in the industry. students work on three distinct real time projects using SAS analytics.


  • Create basic detail and summary reports using SAS procedures.
  • Create temporary and permanent SAS data sets, investigate SAS data.
  • Libraries using base SAS utility procedures and access an Excel workbook.
  • Use assignment statements in the DATA step, modify variable attributes using options and statements in the DATA step.
  • Use SAS procedures to obtain descriptive statistics for clinical trials data.
  • Use PROC REPORT to produce tables and listings for clinical trials reports.
  • Use ODS and global statements to produce and augment clinical trials reports.
  • Describe the structure and purpose of the CDISC, SDTM and ADAM data model.


Register now, to get the complete syllabus.


    Our instructors are not just highly experienced in the industry, they give you the personal attention you need and guide you every step of the way.

    Aslam Khan

    SAS Faculty

    Aslam Khan

    SAS Faculty


    1st Project

    Analysis Dataset Development

    Generate Laboratory analysis dataset(ADLB) by using raw lab data (LB).

    2nd Project

    QC of SDTM Dataset Development

    Generate DM (SDTM) dataset as perCDISC standard by using raw DM &Com var dataset. Validate it with primary demographic dataset by writing independent code in SAS.

    3rd Project

    QC of AE and DM Tables

    •  Generate the demography report by writing independent code in SAS using analysis dataset for demography.
    •  Generate the adverse event summary report classified by MedDRA system organ class by writing independent code in SAS using analysis datasets for demography and adverse event.

    Course Duration


    130 Hours

    For information regarding fee and/or reserving your spot, contact our Admissions Team.

    Credit transfers applicable for alumni


    Sollers partners with industry-leading corporations and provides them with ready-on-day-one employees. We record an 82% placement rate within three months of graduation.

    Financial Options

    Sollers has devised viable financial options for you to ensure tuition does not get in the way of your education. Now, you can focus your attention where it needs to be – in the classroom!

    Career Guidance

    After the completion of program, we assist our students with interview coaching, resume building sessions, conduct mock interviews, job readiness training and make them competent to venture into the corporate world.

    We provide exclusive one-on-one sessions with our industry-based career advisors who provide guidance right from resume feedback, assisting with interview Q&As, and helping with job preparations.

    Student Testimonials

    • Emmanet T.
      The Clinical Trial Management course is extensive, and the professors are thorough in delivering the course materials using real life experience and insight. Career Services helped me throughout the interview process, and I landed my dream job with the very first interview after graduating from Sollers.
      Emmanet T.
    • Rudolf M.
      Thanks to the academic team at Sollers, I was able to gain quick admission with financial options to pay tuition. Career Services was very helpful with resume and interview prep. They sent me job postings with major hospitals and pharma companies which helped me land my current job as Data Manager in cancer clinical trials.
      Rudolf M.
    • Sampada Lokhande
      “Sollers has great certificate and internship programs in Clinical Trials domain. I have recently completed Clinical Data Science program with Sollers. Their faculty, facilitators, career services all are knowledgeable and experienced in the field of Clinical Trial. I was very happy with the internship program too. They provided me with valuable guidance throughout my program, internship and job application process. I definitely would recommend to anyone who wants to pursue education in Clinical Trial industry 👍🏼”
      Sampada Lokhande

    Campus Visit


    Clinical SAS Analytics is one of the fastest growing career paths and best paid career paths. Clinical SAS analysts use a combination of programming, statistical perspective and domain expertise to do so. They are expected to be in large demand as businesses grow in storing the data that they generate to achieve competitive differentiation in their products and services.

    The program focuses on the development of dynamic emerging Clinical SAS analysts into the healthcare industry for analytics. The curriculum will focus on Clinical research, clinical data management, SAS, SQL, statistical modeling, data visualization with Tableau and business analytics.

    Our students come from all different backgrounds, with the most competitive candidates including those with Bachelors, Masters, or PhD Degree in Statistics, and Sciences. Some have similar backgrounds to Clinical Research.

    Our 180-hour program can be completed in 9-12 weeks- All of the programs offered by Sollers have been designed to best suit those seeking to enter the field of clinical research, health, IT among other domains.

    It is preferable that a student be a Bachelors or a Masters graduate in Science including Statistics, Engineering, Computer Science or other sciences. Some students may have sufficient knowledge in some areas.

    Clinical SAS Analytics is one of the fastest growing and best paid career paths. reported the median salary for Clinical SAS Programmers at $102,000 for 2016. Medgadget reports that the market for clinical data analytics is expected to grow to $12 Billion by the end of 2022, in their new market research report.

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    Anybody with a minimum undergraduate degree from science or related backgrounds who would like to establish or advance their career.