DATA ANALYTICS AND REPORTING
Are you passionate about clinical data analysis and planning, clinical research, database design, SAS data analysis, reporting and data modeling, and want to be part of a clinical research team to support clinical trials? This career path is best for you. You must have a bachelor’s degree in science, statistics, mathematics, computer science, biotechnology, medicine, or healthcare administration to qualify. With Qtech-Sol Clinical data management training, we strive to achieve your career goals and make you a successful clinical data manager or SAS data analyst.
DATA ANALYTICS AND REPORTING COURSES
Clinical SAS Programmer
The Clinical Trial SAS Data Analysis and Reporting (CDAR) provides intensive learning on how SAS is used in clinical and pharmaceutical industries. In particular, how codes, analysis and reports are generated using SAS.
Statistical Programmer
The Clinical Trial SAS Functional Programming (CDOT) provides learnings required to apply regulations, governance and procedures for analysis, monitoring and reporting clinical data using SAS Software.
Learning SAS - Basics
SAS program is the industry-standard statistical tool. QPDC offers Basic SAS Modules training program, which is designed to help interested candidates understand how SAS program manipulates and views data in various industries.
Learning SAS - Advanced
SAS program is the industry-standard statistical tool. QPDC offers Advanced SAS Modules training program, which is designed to help interested candidates understand how SAS program manipulates and views data in various
ANALYSIS DATA MODEL (ADAM)
The Analysis Data Model (ADaM), developed by CDISC, provides the standard structure for organizing and analyzing clinical trial data. While SDTM focuses on submission-ready datasets, ADaM enables the creation of analysis-ready datasets that support statistical reporting, regulatory review, and generation of Tables, Listings, and Graphs (TLGs).
AI IN DATA ANALYTICS
Artificial Intelligence (AI) is revolutionizing the way data is processed, analyzed, and interpreted across industries — and healthcare and clinical research are no exception. From predictive modeling and natural language processing (NLP) to automation of routine analytics, AI is enabling faster insights and better decision-making.
CDISC STANDARDS – OVERVIEW
The CDIS program introduces learners to the core principles, models, and implementation frameworks of CDISC standards. It provides the foundation needed to understand how raw trial data is transformed into submission-ready datasets that meet FDA, EMA, and PMDA requirements.
STUDY DATA TABULATION MODEL
In clinical research, standardized data submission is critical for regulatory approval. The Study Data Tabulation Model (SDTM), developed by the Clinical Data Interchange Standards Consortium (CDISC), is the global standard for organizing and formatting clinical trial data submitted to regulatory agencies such as the FDA and PMDA.
TABLES, LISTINGS, AND GRAPHS
The TLGS program provides learners with practical knowledge of creating and validating TLG outputs using ADaM datasets. It is an essential training module for statistical programmers and biostatisticians aiming to deliver submission-ready reports that meet global regulatory expectations.
THE ROLE OF SAS PROGRAMMER
SAS is widely used in clinical trial data analysis in pharmaceutical, biotech and clinical research companies. SAS programmers play an important role in clinical trial data analysis. In addition to doctors and clinicians who collect clinical trial data, the group conducting data analysis includes statisticians, clinical data managers (CDMs) and SAS programmers. Statisticians provide the ideas and methods of the data analysis; clinical data managers manage the collected data and control the data quality. In between, SAS programmers implement the analysis methods on the collected data and provide the study summary tables, data listing and graphs to the statisticians and for clinicians to write a study report.
- Candidate – Active Vs Passive Job Seekers.
- Location Preference – Local Vs Open for relocation.
- Salary Expected – Current Vs Next.
- Skill – Fresh Vs Experienced.
- Job Title – Entry – Mid – Senior roles.
- Type of Job – Contract Vs Full-time.
- Work – Onsite Vs remote.
Qtech-Sol RMS (Resume Marketing Services) program is performed in 2 phases. The RMS program (Phase-I) is for 15 days, allowing us to focus on suitable positions to target and have your resume structured with key words per job posted by clients and have narrative form written. Your resume is the front face for clients to call you. The RMS program (Phase-II) is to support u to successfully get interviewed with mock sessions. The RMS Phase-II support is available for 60-90 days from the date your resume is finalized.
- Phase-I (2 weeks)
- a) Resume preparation
- b) Narrative writing
- Phase-II (12 weeks)
- a) Preparing for Interview
- b) Mock Sessions
| SAS Job titles qualified after training | |
|---|---|
| Clinical SAS Programmer | SAS Data Analyst |
| SAS Data Modeling | Biostatistician |
| Program Manager | Clinical Data Scientist |