Training
Virtual Training for Statisticians
This training program is designed to bridge the gap between academia and the pharmaceutical industries for graduates with a statistics background. Our training is project base with a unique curriculum that includes study design, protocol review, creating annotated Case report forms (aCRF), writing of Statistical Analysis Plan (SAP), and creating mock shells for tables, listings and figures (TLF). We also provide training on CDISC standards and programming of SDTM and ADaM datasets. At the end of the training program, students will be impacted with the knowledge and skills required to function as a Biostatistician or Statistical programmers within the drug development and medical devices industries. In addition, we also guide them on how to develop resumes/cover letters and also assist in preparing for interviews as well as job referrals.
Every year, we train students from over 30 universities across Europe and North America.
Eligibility: undergraduate in any branch of Statistics –
Duration: We can decide the duration of the training
Mode of Training:
Virtual Training for SAS programmers
This training is for anyone with a BSc in Engineering, life science or any life science-related discipline or equivalent who is interested in working as a statistical programmer within the pharmaceutical industries using SAS. SAS software is widely used in clinical trial data analysis and reporting in pharmaceutical, biotech and clinical research companies. SAS programmers play an important role in clinical trial reporting and analysis. This training is project base and includes end-to-end programming of clinical trial data of a particular therapeutic area. It consists of two core modules and a supplementary module.
Module 1
In this module, we introduce SAS base environment and also cover key topics that would be needed for our project in module 2.
Components of Module 1:
- SAS Program Set Up and Understanding Layout
- Understanding SAS Fundamentals
- Files and Libraries Referencing
- Creating List Reports
- Creating Data Sets Through Data Step Processing
- Understanding Formats and Summary Reports
- Creating and Managing Variables
- Reading and Managing SAS Data Sets
- Transforming Data with SAS Functions
- Understanding Do Loops and Arrays
- Reading Date and Time Values
- Understanding of SQL and Macros
Module 2
In this module, we will introduce the fundamentals of CDISC. The majority of the time will be dedicated to SDTM, ADaM and TLF’s programming. Students will work on real clinical Trial Data. Components of Module 2:
- Introduction to CDISC , SDTMIG and ADaMIG
- Explanation of Protocol, CRF and SAP
- Writing Specs and Annotation of CRF
- SDTM and ADaM Mapping
- Creating SDTM Datasets
- Creating ADaM Datasets
- Creating Table, Listing and Figures.
Supplementary module: In this module, we will introduce common statistical methods used in clinical trials and hypothesis testing.
Eligibility: BSc in Engineering, life Science or any Life Science related discipline
Duration: We can decide the duration of the training
Mode of Training: Online
Customised Virtual Training: This training is completely based on customization. We discuss with the client in detail to understand their requirements on statistical needs, work profile of participants and help them to design the best curriculum for their scientist team.
Eligibility: Group of a minimum of 10 researchers are required
Duration: As per the final customized contents of the training
Mode of Training: Offline or Virtual