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Statistical Programming - Global BIOS

IQVIA Holdings Inc.

Reading, Berkshire, United Kingdom

Statistical Programmer

Global Biostatistics

Home-Based/Hybrid: UK/EMEA/South Africa

The Global Biostatistics (Data Sciences, Safety & Medical) team at IQVIA are experienced in submissions for all major regions; working together with key groups such as, Global Regulatory Affairs, Safety, Project and Data Management, and Medical Writing, to drive efficiency and accountability.

We have one of the largest Biostatistics departments within the industry of around 1,100+ staff, to which we engage the full range of industry-leading resources and expertise spanning all study phases and therapeutic areas.

Due to continued growth, we are seeking new brave minds to join our award winning and innovative department. You will work globally and across all therapeutic areas as IQVIA Biostatistics helps interpret and draw inferences from data collected on patients as they progress through a clinical trial and serves as the bridge between data capture and reporting.

THE ROLE

You will utilize the SAS programming language to develop and maintain programs for clinical study report materials according to the objectives of a clinical trial for regulatory submissions.

Programming and performing related tasks serving the full spectrum of statistical programming needs.

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

  • Provide training and mentoring to team members and department staff

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. 

Be challenged in a fast-paced team environment that is collaborative in performing biostatistical analyses and statistical programming. 

Development opportunities and mentoring at all levels enable you to progress your long-term career in the direction you choose.

THE PERSON:

We know that meaningful results require not only the right approach, but also the right people.

You should possess a BSc or MSc in Biostatistics, Statistics, Mathematics, or Computer Science, with relevant experience. 

  • Experience in programming in SAS within the CRO/Pharma/Biotech/Healthcare industries

  • Knowledge of statistics and exhibit routine and occasionally complex analytical skills 

  • A focus on qualityaccuracy, and completeness of work activities 

  • Excellent communication skills

  • A good understanding of Good Clinical Practice and ICH guidelines

  • Ability to independently lead (or have lead potential) and estimate programming scope of work, handle resource assignments, communicate work status, and work within project timelines for deliverables

  • Take initiative and can be counted on to get the job done, with integrity

  • Have the self-awareness to recognize when negotiating skills and assistance are needed 

JOIN US:

From camaraderie to professional development, working at IQVIA provides unique opportunities to advance your career alongside a group of diverse and talented colleagues.

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.

Whatever your career goals, we are here to ensure you get there!

Job posted: 2023-02-04

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