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- Tasks: Lead R programming for clinical trials and develop innovative statistical solutions.
- Company: Join a dedicated team in a leading pharmaceutical company.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Make a real impact on clinical research and enhance your programming skills.
- Qualifications: 5+ years of R programming experience in clinical trials and strong data analysis skills.
The predicted salary is between 36000 - 60000 £ per year.
Overview
Join a sponsor-dedicated team and contribute to the advancement of in-house study activities over time. As the R Programming Lead, you will provide technical expertise to the Statistical Programming team, ensuring the delivery of high-quality solutions that meet both internal and external requirements.
Responsibilities
- Develop internal and external R packages for clinical trial analysis (ADaM, tables, figures, listings).
- Validate R packages.
- Lead implementation in R and train other Biostatistics team members.
- Conduct statistical programming work of clinical data using R.
- Identify problems and develop global tools that increase the efficiency and capacity of the Statistical Programming group.
- Create and/or validate all safety and efficacy study output requirements (e.g. ADaM, TLFs) consistent with data definitions and specifications and relevant study documentation (e.g. protocol, SAP, aCRF).
- Collaborate with peers and statisticians to ensure the quality and accuracy — thus submission readiness — of clinical data as required by authorities (i.e. SDTM, ADaM, tables, figures, listings, define.xml).
Experience and Qualifications
- Minimum 5+ years of experience in R programming for clinical trial data including developing and validating R packages from CRO or Pharmaceutical Industry.
- Strong programming skills in R/R Shiny
- Proven experience in applying R and R-Shiny for the analysis and reporting of clinical trials. Ability to reproduce statistical analysis using R.
- Strong skills in data visualization and data wrangling using R. Proficiency in using R packages for data exploration and visualization.
- Application of statistical methodology and concepts in clinical trial analysis. Experience with R-Shiny apps for data exploration.
- Advanced knowledge of industry standards including CDISC data structures as well as a solid understanding of the development and use of standard programs.
- In-depth understanding of the phases of clinical trials and the drug development process.
- Exposure to Late Phase & Real-World Evidence (RWE) studies is highly desirable.
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Principal Statistical Programmer (R Programming) employer: IQVIA, Inc.
Contact Detail:
IQVIA, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Statistical Programmer (R Programming)
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work in statistical programming or clinical trials. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your R programming projects, especially those related to clinical trials. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to R programming and clinical trial processes. We recommend practising with a friend or using mock interview platforms to build your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to navigate!
We think you need these skills to ace Principal Statistical Programmer (R Programming)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with R programming and clinical trials. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about statistical programming and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Technical Skills: When detailing your experience, focus on your proficiency in R and R-Shiny. We love seeing specific examples of how you've used these tools in past roles, especially in clinical trial settings.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at IQVIA, Inc.
✨Know Your R Inside Out
Make sure you brush up on your R programming skills before the interview. Be ready to discuss specific projects where you've developed and validated R packages, as well as any challenges you faced and how you overcame them. This will show your technical expertise and problem-solving abilities.
✨Showcase Your Collaboration Skills
Since the role involves working closely with peers and statisticians, be prepared to share examples of how you've successfully collaborated in the past. Highlight any experiences where you led a team or trained others, as this demonstrates your leadership potential and ability to work within a team.
✨Understand Clinical Trial Processes
Familiarise yourself with the phases of clinical trials and the drug development process. Be ready to discuss how your statistical programming work has contributed to submission readiness and compliance with industry standards like CDISC. This knowledge will set you apart as a candidate who understands the bigger picture.
✨Prepare for Technical Questions
Expect technical questions related to R programming, data visualisation, and statistical methodologies. Practice explaining complex concepts in simple terms, as this will demonstrate your depth of understanding and ability to communicate effectively with non-technical stakeholders.