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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 employer: Coronado Research
Contact Detail:
Coronado Research Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior SAS and R Programmer
✨Tip Number 1
Network like a pro! Reach out to your connections in the clinical trials space, especially those who work with SAS and R. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SAS and R projects, especially any related to oncology. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨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 tackled data discrepancies in past projects – real-life examples go a long way!
✨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 are proactive about their job search!
We think you need these skills to ace Senior SAS and R Programmer
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 role, 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 us.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled data discrepancies or quality control issues in the past. We’re looking for proactive thinkers who can communicate complex findings clearly!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity.
How to prepare for a job interview at Coronado Research
✨Know Your Data Inside Out
Make sure you’re well-versed in the types of data you’ll be working with, especially in clinical trials. Brush up on your experience with SDTM and ADaM datasets, and be ready to discuss how you’ve handled data preparation and anomaly detection in past projects.
✨Showcase Your Programming Skills
Be prepared to demonstrate your proficiency in SAS and R during the interview. You might be asked to solve a problem or explain your approach to data manipulation and analysis, so have some examples ready that highlight your technical skills and any additional languages like Python.
✨Communicate Clearly and Effectively
Since stakeholder communication is key, practice explaining complex data findings in simple terms. Think about how you can convey technical concepts to a non-technical audience, as this will show your ability to collaborate across teams and ensure everyone is on the same page.
✨Emphasise Your Attention to Detail
Highlight your conscientious approach to quality control and data integrity. Be ready to discuss specific instances where your attention to detail made a difference in project outcomes, and how you ensure compliance with GCP and regulatory standards.
