Ref #: 37643

Employment type: Permanent - Full-Time

Location: Bangalore/Chennai/Homebased

Posted: 13-May-2022


Statistical Programmer I

Responsible for the integrity of the programming/computing solutions for multiple clinical trials (or equivalent) and/or publication activities.
In collaboration with the Biostatistician and Senior Programmer, provide programming support to project-level programming deliverables and other adhoc programming requests.
Ensure understanding and compliance with study and project programming standards. Responsible for development of programming specification.
Create and Validate Safety and Efficacy Analysis Datasets in adherence with CDISC and client specific standards and maintain quality and accuracy.
Create and Validate Safety and Efficacy Tables, Listings and Figures with high quality and accuracy.
Create Study specific or general macros and finalize programming specifications/mock-ups.
Adhere to programming specifications and study specific requirements, including completion and filing of required documentation.
Plan and organize workload to ensure effective time management and adherence to project specific timelines.
Proactively plan for and implement effective resource planning, task allocation and tracking of workload in accordance with agreed KPIs and quality standards
Trouble-shoot and resolve programming issues in a timely and efficient manner.
Ability to work independently and as part of a team environment.
Strong problem solving and organizational skills, attention to detail, verbal and written communications skills


2+ years’ work experience in a R Programming and ADAM programming.
Well versed in R programming
Hands on experience using R Shiny and app development using the same
Create and Validate Safety and Efficacy Tables, Listings and Figures with high quality and accuracy.
Experience in creation of ADaM Datasets for Safety and efficacy domains.
Very strong SAS programming skills required in SAS/Base, PROC SQL,SAS/Stat, SAS Macros and SAS/Graph (Base and Advance SAS).
Good communications and negotiation skills, ability to work well with others globally.


University or college degree in Life Sciences, Mathematics, Computer Science, Medical Informatics or equivalent degree