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- Tasks: Lead R programming for clinical trial analysis and train team members.
- Company: IQVIA is a top global provider of clinical research services and healthcare intelligence.
- Benefits: Enjoy flexible work options and opportunities for professional growth.
- Why this job: Join a mission-driven team improving patient outcomes through innovative medical treatments.
- Qualifications: 5+ years in R programming for clinical trials; strong skills in R/R Shiny required.
- Other info: Ideal for those passionate about data science and making a real-world impact.
The predicted salary is between 48000 - 72000 £ per year.
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.
- Create and validate safety and efficacy study output requirements (e.g., ADaM, TLFs) aligned with data definitions, specifications, and study documentation (e.g., protocol, SAP, aCRF).
- Conduct statistical programming of clinical data using R.
- Develop global tools to enhance the efficiency and capacity of the Statistical Programming group.
- Collaborate with peers and statisticians to ensure the quality and accuracy of clinical data for submission readiness (e.g., 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.
- Understanding of end-to-end Clinical Trials in Statistical Programming is mandatory.
- Exposure to Late Phase & Real-World Evidence (RWE) studies is highly desirable.
- Proven experience in applying R and R-Shiny for clinical trial analysis and reporting.
- Ability to reproduce statistical analyses using R.
- Strong skills in data visualization and data wrangling with R, including using R packages for exploration and visualization.
- Knowledge of statistical methodologies in clinical trial analysis and experience with R-Shiny apps for data exploration.
- Advanced understanding of industry standards including CDISC data structures and standard program development.
- In-depth knowledge of clinical trial phases and drug development processes.
Senior Clinical Data Scientist employer: IQVIA Argentina
Contact Detail:
IQVIA Argentina Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Clinical Data Scientist
✨Tip Number 1
Network with professionals in the clinical data science field, especially those who have experience with R programming. Attend industry conferences or webinars to connect with potential colleagues and learn about the latest trends and tools in clinical trial analysis.
✨Tip Number 2
Showcase your expertise in R and R-Shiny by contributing to open-source projects or creating your own packages. This not only demonstrates your skills but also helps you build a portfolio that can impress hiring managers at StudySmarter.
✨Tip Number 3
Familiarise yourself with CDISC standards and ensure you can discuss how they apply to clinical trial data. Being able to articulate your understanding of these standards during interviews will set you apart from other candidates.
✨Tip Number 4
Prepare for technical interviews by practising common statistical programming problems and scenarios related to clinical trials. Being able to demonstrate your problem-solving skills in real-time will greatly enhance your chances of landing the job.
We think you need these skills to ace Senior Clinical Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with R programming, particularly in clinical trial data analysis. Emphasise any specific projects where you've developed or validated R packages, as well as your familiarity with ADaM and TLFs.
Craft a Strong Cover Letter: In your cover letter, explain why you're a great fit for the Senior Clinical Data Scientist role. Mention your 5+ years of experience, your understanding of end-to-end clinical trials, and how your skills in R and R-Shiny can contribute to the team at IQVIA.
Showcase Relevant Projects: If you have worked on specific projects that involved late-phase studies or real-world evidence, be sure to include these in your application. Detail your role and the impact of your contributions to demonstrate your expertise.
Highlight Collaboration Skills: Since the role involves collaboration with peers and statisticians, mention any past experiences where you successfully worked in a team setting. This could include training others or leading projects, which will show your leadership capabilities.
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 developed and validated R packages, and be ready to explain the challenges you faced and how you overcame them.
✨Understand Clinical Trial Processes
Demonstrate a solid understanding of the end-to-end clinical trial process. Be ready to discuss how your skills in statistical programming contribute to the overall success of clinical trials, particularly in relation to ADaM and TLFs.
✨Prepare for Technical Questions
Expect technical questions related to R and R-Shiny. Brush up on your knowledge of statistical methodologies and be ready to solve problems or provide examples of how you've used R for data visualisation and analysis in past roles.
✨Collaborative Mindset
Since collaboration is key in this role, be prepared to discuss your experience working with peers and statisticians. Share examples of how you ensured data quality and accuracy in previous projects, and how you can contribute to a team environment.
