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- Tasks: Lead R programming for clinical trials, develop packages, and train team members.
- Company: IQVIA is a global leader in clinical research and healthcare intelligence.
- Benefits: Enjoy flexible work options and opportunities for professional growth.
- Why this job: Make a real impact on patient outcomes while working with cutting-edge technology.
- Qualifications: 5+ years in R programming, strong skills in data visualization, and knowledge of clinical trials.
- Other info: Ideal for those passionate about advancing healthcare through innovative solutions.
The predicted salary is between 48000 - 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. • Identifies problems and develops 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) • Collaborates 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 . Learn more at https://jobs.iqvia.com #J-18808-Ljbffr
R Programming Lead (m/w/d) employer: IQVIA Argentina
Contact Detail:
IQVIA Argentina Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land R Programming Lead (m/w/d)
✨Tip Number 1
Network with professionals in the clinical trial and biostatistics fields. Attend industry conferences or webinars where you can meet potential colleagues and learn about the latest trends in R programming for clinical trials.
✨Tip Number 2
Showcase your expertise in R and R-Shiny by contributing to open-source projects or creating your own R packages. This not only demonstrates your skills but also helps you build a portfolio that can impress hiring managers.
✨Tip Number 3
Stay updated on industry standards like CDISC data structures and best practices in clinical trial analysis. Familiarity with these standards will make you a more attractive candidate and show your commitment to quality.
✨Tip Number 4
Prepare for interviews by practising common technical questions related to R programming and clinical trial data analysis. Be ready to discuss your past projects and how you've applied statistical methodologies in real-world scenarios.
We think you need these skills to ace R Programming Lead (m/w/d)
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 a team and deliver high-quality solutions in statistical programming.
Showcase Relevant Projects: If you have worked on any significant projects involving R or R-Shiny, be sure to include these in your application. Describe your role, the challenges faced, and how you contributed to the project's success.
Highlight Industry Knowledge: Demonstrate your understanding of industry standards such as CDISC data structures and the phases of clinical trials. This will show that you are not only technically skilled but also knowledgeable about the broader context of your work.
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 your understanding of statistical methodologies. Be ready to discuss how you've applied these concepts in previous roles, 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.
✨Emphasise Collaboration Skills
This role requires collaboration with peers and statisticians. Prepare examples of how you've worked effectively in teams, especially in high-pressure environments, and how you’ve contributed to ensuring submission readiness of clinical data.
