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- Tasks: Develop and validate R packages for clinical trial analysis and lead programming efforts.
- Company: Join IQVIA, a leader in clinical research and healthcare intelligence.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact on patient outcomes through innovative data solutions.
- Qualifications: 5+ years of R programming experience in clinical trials and strong data visualisation skills.
- Other info: Collaborative environment with exposure to cutting-edge research and development.
The predicted salary is between 36000 - 60000 £ per year.
Join to apply for the Statistical Programming role at IQVIA.
Join a sponsor-dedicated team and contribute to the advancement of in-house study activities over time. In this role, 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).
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.
- 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 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.
- 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 aim to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide.
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Clinical Data Scientist employer: IQVIA
Contact Detail:
IQVIA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Clinical Data Scientist
✨Tip Number 1
Network like a pro! Reach out to your connections in the clinical data field, especially those who work at IQVIA or similar companies. A friendly chat can sometimes lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your R programming projects, especially those related to clinical trials. This will give you an edge and demonstrate your expertise when you get that interview.
✨Tip Number 3
Prepare for the technical interview! Brush up on your R programming knowledge and be ready to discuss how you've used it in past projects. Practice coding challenges and be prepared to explain your thought process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Clinical Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Clinical Data Scientist role. Highlight your experience with R programming and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about clinical data science and how your background makes you a great fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Technical Skills: Don’t forget to showcase your technical expertise in R and R-Shiny. Mention specific projects where you've developed or validated R packages, as this will demonstrate your hands-on experience. We’re keen to see your problem-solving skills in action!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at IQVIA
✨Know Your R Inside Out
Make sure you brush up on your R programming skills before the interview. Be ready to discuss your experience with developing and validating R packages, as well as any specific projects you've worked on that relate to clinical trial data.
✨Showcase Your Statistical Knowledge
Prepare to talk about statistical methodologies and concepts you've applied in clinical trial analysis. Highlight any experience you have with ADaM, SDTM, and other industry standards, as this will demonstrate your understanding of the requirements for submission readiness.
✨Demonstrate Collaboration Skills
Since the role involves working closely with peers and statisticians, think of examples where you've successfully collaborated on projects. Be ready to discuss how you ensure quality and accuracy in your work, and how you’ve trained others in your team.
✨Be Ready for Problem-Solving Questions
Expect questions that assess your ability to identify problems and develop solutions. Prepare examples of global tools or processes you've implemented to increase efficiency in statistical programming, as this will show your proactive approach to challenges.