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- Tasks: Lead R programming for clinical trials, develop packages, and train team members.
- Company: IQVIA is a top global provider of clinical research services and healthcare intelligence.
- Benefits: Enjoy flexible work options, professional development opportunities, and a collaborative culture.
- Why this job: Make a real impact in healthcare while working with cutting-edge technology and talented professionals.
- Qualifications: 5+ years in R programming for clinical trials; strong skills in R/R Shiny and data visualization.
- Other info: Experience with Late Phase & Real-World Evidence studies is a plus.
The predicted salary is between 43200 - 72000 £ per year.
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.
IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide.
R Programming Lead employer: IQVIA Argentina
Contact Detail:
IQVIA Argentina Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land R Programming Lead
✨Tip Number 1
Familiarise yourself with the latest R packages and tools used in clinical trial analysis. Being well-versed in the specific packages mentioned in the job description, such as those for ADaM and TLFs, will give you an edge during discussions.
✨Tip Number 2
Network with professionals in the biostatistics and clinical research fields. Attend relevant conferences or webinars where you can meet potential colleagues and learn more about the current trends and challenges in R programming for clinical trials.
✨Tip Number 3
Prepare to discuss your experience with R-Shiny apps and how you've applied them in real-world scenarios. Be ready to share specific examples of how your work has improved efficiency or accuracy in statistical programming.
✨Tip Number 4
Stay updated on industry standards like CDISC data structures. Understanding these standards will not only help you in the role but also demonstrate your commitment to quality and compliance during your interview.
We think you need these skills to ace R Programming Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in R programming, particularly in clinical trial data. Emphasise your skills in developing and validating R packages, as well as any relevant projects you've worked on.
Craft a Strong Cover Letter: In your cover letter, explain why you're passionate about the role of R Programming Lead. Mention specific experiences that demonstrate your ability to lead and train others, and how you can contribute to the Statistical Programming team.
Showcase Relevant Experience: When detailing your work history, focus on your 5+ years of experience in R programming for clinical trials. Include examples of how you've applied statistical methodologies and developed tools that improved efficiency.
Highlight Collaboration Skills: Since the role involves collaboration with peers and statisticians, mention any past experiences where you've successfully worked in teams. Highlight your communication skills and ability to ensure quality and accuracy in clinical data.
How to prepare for a job interview at IQVIA Argentina
✨Showcase Your R Expertise
Be prepared to discuss your experience with R programming in detail. Highlight specific projects where you've developed and validated R packages, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Statistical Knowledge
Since the role involves statistical programming for clinical trials, brush up on key statistical methodologies and concepts. Be ready to discuss how you've applied these in past projects, particularly in relation to ADaM and TLFs.
✨Prepare for Technical Questions
Expect technical questions related to R and R-Shiny. Practice coding problems or scenarios that may come up during the interview, and be ready to demonstrate your problem-solving skills in real-time.
✨Understand the Drug Development Process
Familiarise yourself with the phases of clinical trials and the drug development process. Being able to articulate this knowledge will show your understanding of the industry and how your role fits into the bigger picture.
