Graduate Placement - Statistical Programmer (2)

Closing date
1 Oct 2021

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Role Type
Graduate, Other work and training

Job Details

*Statistical Programmer - Graduate Placement: 2**Be part of our exciting journey!*
We are looking for talented and enthusiastic Mathematics, Statistics or Computer Science students to join our dynamic and vibrant team in Reading for a one-year placement (August 2022 to August 2023).
Our DSSR, BIOS group in Reading is home to 40+ Statisticians and Statistical Programmers who all play a part in allowing our clients to achieve their most important goals of improving clinical, scientific, and commercial results in Healthcare; realising the full potential of innovations.
From camaraderie to professional development, working at IQVIA provides unique opportunities to advance your career alongside our 70,000 talented colleagues from around the world, who apply their insight, curiosity, and intellectual courage every step of the way.
We, IQVIA, have one of the largest Biostatistics departments within the industry, around 1,100+ staff and we are now seeking new brave minds to join our team for a placement year.
Successful candidates will help to analyse and report the clinical trials of the future and become a part of the next chapter in Human Data Science.
As a placement student, you will be involved in clinical trials from Phases II and III of clinical research, across a variety of therapeutic areas.
Your tasks will primarily include using the SAS?? programming language for the production and validation of datasets/ summary tables/ graphs and listings of clinical trial data and writing specifications to document these.
This position requires excellent communication and problem-solving skills, as well as the ability to work with initiative, and have the confidence to contribute effectively in a multi-disciplinary, team-based environment, working with colleagues around the globe.
Through mentorship, and a fully supportive, collaborative environment, you will begin to build your SAS?? programming knowledge, teamwork, and organisational skills, which will provide you with a great foundation for your chosen future career.
*Statistical Programming Overview:*

* Import data from various sources

* Program quality control checks for source data and reporting data issues

* Interpret project level requirements and develop programming specifications

* Write programming code following established Good Programming Practices

* Program SDTM and ADaM datasets

* Program to create statistical analysis tables, listing and figures

* Validate datasets and all statistical outputs per prescribed gate checks

* Communicate with internal and client statisticians and clinical team members to ensure appropriate understanding of requirements and timelines

* Use and promote the use of established standards, SOPs, and standard methodologies

You can help us bring clinical trial statistical analysis into the next generation.
Award winning and innovative; we will give you access to cutting-edge in-house technology, allowing you to work on global projects across a variety of therapeutic areas.
We know that meaningful results require, not only the right approach, but also the right people.
You will be currently studying a BSc in Biostatistics, Statistics, Mathematics, or Computer Science, or equivalent.
Embrace your curiosity and grow your career in an exciting environment where development is a priority.
Think boldly and disrupt conventional thinking.
Enjoy what you do.
Discover a career with greater purpose and help create a healthier world.
Please submit your applications, no later than October 16th, 2021.
At IQVIA, we believe in pushing the boundaries of human science and data science to make the biggest impact possible - to help our customers create a healthier world. The advanced analytics, technology solutions and contract research services we provide to the life sciences industry are made possible by our 70,000+ employees around the world who apply their insight, curiosity and intellectual courage every step of the way. Learn more at []().

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