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- Tasks: Prepare and analyse clinical trial data using SAS and R, ensuring quality and compliance.
- Company: Join a leading clinical research organisation focused on impactful patient outcomes.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Why this job: Make a real difference in clinical research while working with cutting-edge data analytics.
- Qualifications: Experience in SAS and R, with a background in clinical trials preferred.
- Other info: Collaborative environment with a focus on data integrity and customer satisfaction.
The predicted salary is between 36000 - 60000 £ per year.
We are looking for Senior SAS Programmers who can also program in R with a background in working across clinical trials, ideally with experience in oncology. The successful candidate will be proactive and conscientious in their work, with a customer focused mindset and a highly collaborative attitude, able to work closely with cross-functional teams to ensure effective data collection, manipulation, oversight and analytics-driven decision-making. This is remote UK and you will need the right to work.
Key Responsibilities
- Data preparation: Prepare and organise data by identifying sources, defining structure, and performing mapping and integration activities to support analysis.
- Anomaly detection: Identify anomalies within clinical trial data using advanced analytical techniques, be able to recognise the importance of those anomalies and explain those anomalies to a non-technical audience.
- Quality Control: Conduct quality control activities to ensure the integrity of outputs and support the development journey of others through effective communication and analysis of quality control findings.
- Requirements Analysis: Interpret requests and requirements from stakeholders into technical solutions that deliver high quality results.
- Stakeholder communication: Collaborate with internal and external stakeholders to communicate data-driven findings and recommendations.
- Regulatory Compliance: Ensure adherence to CDISC, Good Clinical Practice (GCP), ICH guidelines, and regulatory requirements (FDA, EMA).
Skills and Experience Required
- Extensive experience creating and validating SDTM and ADaM datasets to CDISC standards.
- Generation and QC of complex Tables, Listing and Figure (TLF) outputs.
- Bachelor's or higher degree in a scientific, technical, or data-driven discipline.
- Proven experience of working with clinical data.
- Extensive experience with SAS and R for data manipulation and analysis. Other programming languages such as Python would be beneficial.
- Strong knowledge of Good Clinical Practice (GCP), ICH guidelines, and global clinical trial regulations.
- Ability to diagnose data discrepancies, apply critical thinking, and generate actionable insights.
- Excellent logical, analytical and problem-solving skills.
- A conscientious approach to accuracy to ensure data reliability and compliance.
- Good customer focus, able to prioritise the needs and satisfaction of our customers and address and resolve conflicts constructively, respectfully and with resilience.
- Ability to work both independently and collaboratively in a fast-paced, cross-functional environment.
- Dependable and a commitment to maintaining high data quality standards through a conscientious approach.
- Strong communication and interpersonal skills for effective collaboration across teams.
This is an exciting opportunity for a data-driven professional to make a meaningful impact on clinical research and patient outcomes. If you have a passion for data analytics and clinical research, we encourage you to apply.
Senior SAS and R Programmer in London employer: Pop Science
Contact Detail:
Pop Science Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior SAS and R Programmer in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the clinical trials space, especially those who work with SAS and R. Join relevant online forums or LinkedIn groups where you can connect with others and share insights.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SAS and R projects, especially any related to oncology or clinical data. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of CDISC standards and GCP guidelines. Be ready to discuss how you've applied these in past roles, as this will demonstrate your expertise and commitment to quality.
✨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 candidates who are proactive about their job search!
We think you need these skills to ace Senior SAS and R Programmer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SAS and R, especially in clinical trials. We want to see how your skills align with the job description, so don’t be shy about showcasing your oncology experience!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data analytics and clinical research. We love a good story, so share your journey and how it led you to apply for this role.
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've diagnosed data discrepancies or conducted quality control. We’re looking for candidates who can think critically and generate actionable insights, so make sure to illustrate this!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Pop Science
✨Know Your Data Inside Out
Make sure you’re well-versed in the specifics of SAS and R, especially how they apply to clinical trials. Brush up on your experience with SDTM and ADaM datasets, as well as any relevant regulations like CDISC and GCP. Being able to discuss your past projects and how you handled data preparation and anomaly detection will really impress.
✨Showcase Your Collaborative Spirit
Since this role requires working closely with cross-functional teams, be ready to share examples of how you've successfully collaborated in the past. Highlight your communication skills and how you’ve effectively conveyed complex data findings to non-technical stakeholders. This will demonstrate your customer-focused mindset.
✨Prepare for Technical Questions
Expect some technical questions that test your analytical skills and problem-solving abilities. Be prepared to discuss how you would approach quality control and data integrity issues. Practising common scenarios or case studies related to clinical data can help you articulate your thought process clearly.
✨Demonstrate Your Passion for Clinical Research
Let your enthusiasm for data analytics and clinical research shine through. Share why you’re passionate about making a meaningful impact on patient outcomes. This personal touch can set you apart from other candidates and show that you’re not just looking for a job, but a chance to contribute to something bigger.
