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- Tasks: Prepare and analyse clinical data, ensuring quality control and detecting anomalies.
- Company: Leading clinical research firm in the UK with a focus on innovation.
- Benefits: Remote work, competitive salary, and the chance to impact healthcare positively.
- Why this job: Join a dynamic team and make a real difference in clinical research.
- Qualifications: Extensive SAS and R programming experience, with strong analytical skills.
- Other info: Opportunity for growth in a supportive and collaborative environment.
The predicted salary is between 42000 - 84000 £ per year.
A leading clinical research firm in the UK is seeking a Senior SAS Programmer with expertise in R and clinical trials. The role involves preparing data, detecting anomalies, and ensuring quality control across clinical datasets.
Ideal candidates will have:
- Extensive experience with CDISC standards
- Strong analytical skills
- A commitment to high-quality data practices
This opportunity offers remote work and the chance to impact clinical research positively. If you are passionate about data analytics in healthcare, consider applying.
Senior SAS & R Programmer — Clinical Data Scientist, Remote in London employer: Pop Science
Contact Detail:
Pop Science Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior SAS & R Programmer — Clinical Data Scientist, Remote in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the clinical research field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Showcase your skills! Create a portfolio or GitHub repository with examples of your SAS and R programming work. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common clinical trial scenarios and data quality control questions. We recommend practising with a friend or using mock interview platforms to build your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing passionate candidates who are eager to make a difference in healthcare analytics.
We think you need these skills to ace Senior SAS & R Programmer — Clinical Data Scientist, Remote in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SAS, R, and clinical trials. We want to see how your skills align with the job description, so don’t be shy about showcasing your expertise in CDISC standards and data quality practices.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data analytics in healthcare and how you can contribute to our mission. Keep it concise but impactful, and let your personality come through.
Showcase Your Analytical Skills: In your application, provide examples of how you've detected anomalies and ensured quality control in past projects. We love seeing real-world applications of your skills, so don’t hold back on sharing your successes!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Pop Science
✨Know Your SAS and R Inside Out
Make sure you brush up on your SAS and R programming skills before the interview. Be ready to discuss specific projects where you've used these tools, especially in clinical trials. Highlight any experience with CDISC standards, as this will show your familiarity with industry requirements.
✨Prepare for Data Quality Questions
Expect questions about how you ensure data quality and detect anomalies in datasets. Think of examples from your past work where you implemented quality control measures. This will demonstrate your commitment to high-quality data practices, which is crucial for the role.
✨Show Your Analytical Skills
Be prepared to showcase your analytical thinking. You might be asked to solve a problem or analyse a dataset during the interview. Practise explaining your thought process clearly, as this will help the interviewers understand how you approach complex data challenges.
✨Express Your Passion for Healthcare Data
Let your enthusiasm for data analytics in healthcare shine through. Share why you’re passionate about making a positive impact in clinical research. This personal touch can set you apart and show that you’re not just looking for a job, but a meaningful opportunity.
