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- Tasks: Develop and validate R packages for clinical trial analysis and train team members.
- Company: Join a leading pharmaceutical company focused on innovative clinical solutions.
- Benefits: Enjoy flexible working options, competitive salary, and professional development opportunities.
- Why this job: Make a real impact in clinical trials while collaborating with talented professionals in a dynamic environment.
- Qualifications: 5+ years of R programming experience in clinical trials; strong skills in data visualization and statistical methodology.
- Other info: Ideal for those passionate about advancing healthcare through data science.
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 all safety and efficacy study output requirements (e.g., ADaM, TLFs) in accordance with data definitions, specifications, and relevant study documentation (e.g., protocol, SAP, aCRF).
- Conduct statistical programming work of clinical data using R.
- Identify problems and develop global tools to increase the efficiency and capacity of the Statistical Programming group.
- Collaborate with peers and statisticians to ensure the quality and accuracy of clinical data, ensuring 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 and R Shiny.
- Strong 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 the analysis and reporting of clinical trials, with the ability to reproduce statistical analysis using R.
- Strong skills in data visualization and data wrangling using R, including proficiency with R packages for data exploration and visualization.
- Application of statistical methodology and concepts in clinical trial analysis, including experience with R-Shiny apps for data exploration.
- Advanced knowledge of industry standards including CDISC data structures and 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.
Senior Clinical Data Scientist employer: IQVIA, Inc.
Contact Detail:
IQVIA, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Clinical Data Scientist
✨Tip Number 1
Make sure to showcase your experience with R programming and R Shiny in your conversations. Highlight specific projects where you've developed or validated R packages, as this will demonstrate your hands-on expertise.
✨Tip Number 2
Network with professionals in the clinical data science field, especially those who have worked on late-phase and real-world evidence studies. Engaging with them can provide insights into the role and may even lead to referrals.
✨Tip Number 3
Stay updated on industry standards like CDISC data structures. Being knowledgeable about these standards will not only help you in interviews but also show that you're committed to maintaining high-quality work in clinical trials.
✨Tip Number 4
Prepare to discuss how you've collaborated with statisticians and peers in previous roles. Emphasising your teamwork skills and ability to ensure submission readiness will be crucial in demonstrating your fit for the position.
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. Emphasise any specific projects where you developed or validated R packages, as well as your familiarity with industry standards like CDISC.
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 and how it aligns with the responsibilities outlined in the job description. Be sure to include examples of your work with R and R-Shiny.
Showcase Relevant Projects: If possible, include links to any relevant projects or R packages you've developed. This could be a GitHub repository or a portfolio showcasing your statistical programming work. Demonstrating your practical skills can set you apart from other candidates.
Highlight Collaboration Skills: Since the role involves collaboration with peers and statisticians, make sure to mention any teamwork experiences. Discuss how you've worked with others to ensure data quality and submission readiness in previous roles.
How to prepare for a job interview at IQVIA, Inc.
✨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.
✨Understand Clinical Trial Processes
Demonstrate a solid understanding of the end-to-end clinical trial process. Be ready to discuss how your statistical programming skills contribute to ensuring submission readiness and compliance with industry standards like CDISC.
✨Prepare for Technical Questions
Expect technical questions related to statistical methodologies and data visualisation techniques. Brush up on your knowledge of R-Shiny and be ready to provide examples of how you've used it for data exploration and reporting.
✨Collaborative Mindset
Emphasise your ability to collaborate with peers and statisticians. Share examples of how you've worked in teams to ensure the quality and accuracy of clinical data, as teamwork is crucial in this role.
