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- Tasks: Prepare and analyse clinical trial data using SAS and R, ensuring high-quality outputs.
- Company: Join a leading company in clinical research with a focus on patient outcomes.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact in clinical trials while developing your programming skills.
- Qualifications: Experience in SAS and R, with a background in clinical trials preferred.
- Other info: Collaborative environment with a focus on quality and innovation.
The predicted salary is between 36000 - 60000 £ per year.
We are looking for a SAS Programmer III who can also program in R with a background in working across clinical trials, ideally with experience in oncology. The successful candidate will be detail-oriented and motivated to deliver high-quality outputs, with a collaborative and customer-focused mindset. You will work closely with programmers, biostatisticians, and cross-functional teams to support effective data preparation, analysis, and reporting for clinical trials. This is remote UK and you will need the right to work.
Key Responsibilities:- Data preparation: Program safety and efficacy SDTM and ADaM datasets in compliance with CDISC standards, including RECIST SDTM domains where applicable. Support data mapping, integration, and documentation activities to ensure datasets are analysis-ready.
- Anomaly detection: Identify data discrepancies and anomalies within clinical trial datasets through structured review and QC activities. Investigate findings, understand their impact, and clearly communicate issues and resolutions to senior team members and non-technical stakeholders when required.
- Quality Control: Perform quality control checks on SDTM/ADaM datasets, TLF outputs, and specifications to ensure accuracy, consistency, and compliance. Contribute to quality discussions and support the development of others through clear communication of QC findings.
- Requirements Analysis: Review Statistical Analysis Plans (SAPs) and stakeholder requests, interpreting requirements into robust SAS and R programming solutions that deliver high-quality outputs.
- Stakeholder communication: Collaborate with internal stakeholders including programmers and biostatisticians to understand project needs and contribute to study deliverables. Act as a shadow lead programmer and attend customer meetings alongside the Lead Programmer as required.
- Regulatory Compliance: Ensure programming activities adhere to CDISC standards, Good Clinical Practice (GCP), ICH guidelines, and applicable regulatory requirements (FDA, EMA). Create and QC Define.xml files and validate datasets using industry-standard tools such as Pinnacle21.
- Experience creating and QCing SDTM and ADaM datasets to CDISC standards.
- Development and QC of safety and efficacy Tables, Listings and Figures (TLFs).
- Bachelor’s degree in Statistics, Computer Science, Mathematics, Life Sciences, or a related discipline.
- Minimum of 3 years’ experience programming clinical trial data, ideally within a CRO or pharmaceutical environment.
- Strong working knowledge of SAS and R for data manipulation and analysis.
- Understanding of clinical trial processes, regulatory expectations, and data standards.
- Ability to diagnose data issues, apply analytical thinking, and resolve discrepancies.
- High attention to detail with a conscientious approach to quality and accuracy.
- Strong organisational skills with the ability to manage multiple tasks and priorities.
- Effective communication and interpersonal skills, with the ability to work independently and collaboratively.
- Experience with other programming languages such as Python, and exposure to Real World Data, would be advantageous.
This is a great opportunity for a Programmer III to continue developing their clinical programming expertise while contributing to high-quality clinical research that supports improved patient outcomes. If you are passionate about clinical data and programming, we encourage you to apply.
Statistical Programmer III (R and SAS) employer: Coronado Research
Contact Detail:
Coronado Research Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Statistical Programmer III (R and SAS)
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend virtual meetups, webinars, or even local events if you can. The more people you know, the better your chances of hearing about job openings before they’re even advertised.
✨Show Off Your Skills
Don’t just wait for the interview to showcase your programming prowess. Create a portfolio of your work, especially any projects involving SAS and R. Share it on platforms like GitHub or even your LinkedIn profile to catch the eye of recruiters.
✨Tailor Your Approach
When you find a job that excites you, tailor your approach! Research the company and its culture, and be ready to discuss how your experience aligns with their needs. This shows you’re not just another applicant but genuinely interested in contributing to their team.
✨Apply Through Our Website
We’ve got a fantastic platform for job applications right here at StudySmarter. Make sure to apply through our website to ensure your application gets the attention it deserves. Plus, you’ll be part of a community that values collaboration and quality!
We think you need these skills to ace Statistical Programmer III (R and SAS)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight 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 hold back on showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about clinical programming and how your background makes you a perfect fit for our team. Keep it concise but impactful!
Showcase Your Attention to Detail: Since we’re all about high-quality outputs, make sure to highlight any experiences where your attention to detail made a difference. Whether it’s QC checks or data preparation, we want to know how you ensure accuracy!
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. Don’t miss out!
How to prepare for a job interview at Coronado Research
✨Know Your Programming Inside Out
Make sure you brush up on your SAS and R skills before the interview. Be prepared to discuss specific projects where you've created and QC'd SDTM and ADaM datasets, as well as any challenges you faced and how you overcame them.
✨Understand Clinical Trial Processes
Familiarise yourself with the clinical trial processes and regulatory expectations. Being able to speak knowledgeably about Good Clinical Practice (GCP) and ICH guidelines will show that you’re not just a programmer, but someone who understands the bigger picture.
✨Prepare for Quality Control Questions
Since quality control is a big part of this role, be ready to discuss your experience with QC checks on datasets and TLF outputs. Think of examples where your attention to detail made a difference in the quality of the data.
✨Show Your Collaborative Spirit
This role requires working closely with cross-functional teams, so be prepared to share examples of how you've successfully collaborated with programmers and biostatisticians in the past. Highlight your communication skills and how you’ve contributed to team success.
