At a Glance
- Tasks: Transform observational study data into CDISC-compliant datasets using R.
- Company: Pop Science, a leader in statistical programming and data analysis.
- Benefits: Full-time contract with competitive pay and valuable experience.
- Other info: Opportunity for professional growth in a collaborative environment.
- Why this job: Join a dynamic team and make a real impact in the field of data science.
- Qualifications: Strong R programming skills and familiarity with CDISC documentation required.
The predicted salary is between 40000 - 50000 € per year.
Pop Science is seeking an experienced Statistical Programmer for a 6-month full-time contract in Greater London. The role involves converting observational study data into CDISC-compliant datasets, primarily SDTM and ADaM, using R. The successful candidate will collaborate with a team to support project delivery and ensure compliance with CDISC guidelines.
Essential skills include:
- Strong R programming capabilities
- Experience with CDISC documentation
- A keen eye for detail
- Commitment to quality programming practices
R Statistical Programmer for CDISC SDTM/ADaM (Contract) in London employer: Pop Science
At Pop Science, we pride ourselves on fostering a collaborative and innovative work environment where your expertise as a Statistical Programmer will be valued and nurtured. Located in the vibrant Greater London area, we offer competitive benefits, a commitment to professional development, and the opportunity to work on impactful projects that contribute to the advancement of scientific research. Join us to be part of a team that prioritises quality and compliance while supporting your career growth in the dynamic field of statistical programming.
StudySmarter Expert Advice🤫
We think this is how you could land R Statistical Programmer for CDISC SDTM/ADaM (Contract) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with CDISC or in statistical programming. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or examples of your R programming work, don’t hesitate to share them during interviews. It’s a great way to demonstrate your expertise and attention to detail.
✨Tip Number 3
Prepare for the technical interview! Brush up on your knowledge of CDISC guidelines and be ready to discuss how you’ve applied them in past projects. We want to see your commitment to quality programming practices!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace R Statistical Programmer for CDISC SDTM/ADaM (Contract) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your R programming skills and any experience you have with CDISC SDTM/ADaM datasets. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about statistical programming and how your experience makes you a perfect fit for our team. Keep it concise but impactful!
Showcase Attention to Detail:Since this role requires a keen eye for detail, consider including examples in your application that demonstrate your commitment to quality programming practices. We love candidates who take pride in their work!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Pop Science
✨Know Your R Inside Out
Make sure you brush up on your R programming skills before the interview. Be prepared to discuss specific functions and packages you've used in past projects, especially those related to CDISC SDTM and ADaM datasets. Practising coding problems can also help you demonstrate your proficiency.
✨Familiarise Yourself with CDISC Guidelines
Since the role heavily involves CDISC-compliant datasets, take some time to review the latest CDISC documentation. Being able to talk about how you've applied these guidelines in previous roles will show that you're not just familiar with the theory but have practical experience too.
✨Prepare for Team Collaboration Questions
This position requires collaboration with a team, so expect questions about your experience working in teams. Think of examples where you contributed to project delivery and how you handled any challenges. Highlight your communication skills and how you ensure everyone is on the same page.
✨Showcase Your Attention to Detail
Given the importance of quality programming practices, be ready to discuss how you ensure accuracy in your work. Prepare examples of how you've caught errors or improved processes in your previous roles. This will demonstrate your commitment to delivering high-quality results.
