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- Tasks: Design and validate statistical programs for clinical trial data analysis.
- Company: Leading healthcare organisation focused on innovation in clinical development.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact in oncology while working with a dedicated team.
- Qualifications: Bachelor's or Master's degree and significant SAS programming experience.
- Other info: Join a dynamic team committed to excellence in healthcare.
The predicted salary is between 36000 - 60000 £ per year.
A leading healthcare organization in the UK seeks a Senior Statistical Programmer II to ensure the integrity of clinical trial data analysis. The ideal candidate will possess a Bachelor's or Master's in a related field, with significant SAS programming experience, particularly with SDTM datasets.
Responsibilities include:
- Designing and validating statistical programs
- Collaborating with biostatisticians
Additional oncology experience is required. Join a team dedicated to innovation and excellence in clinical development.
Senior SDTM SAS Programmer - Oncology (Remote) in Reading employer: ICON
Contact Detail:
ICON Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior SDTM SAS Programmer - Oncology (Remote) in Reading
✨Tip Number 1
Network like a pro! Reach out to professionals in the oncology and programming fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there.
✨Tip Number 2
Prepare for interviews by brushing up on your SAS skills and oncology knowledge. We recommend practising common interview questions and scenarios related to SDTM datasets to show you’re the right fit.
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and career goals. Use our website to find roles that excite you and match your expertise in statistical programming.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in leaving a positive impression. It shows your enthusiasm and keeps you on their radar.
We think you need these skills to ace Senior SDTM SAS Programmer - Oncology (Remote) in Reading
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your SAS programming experience and any work with SDTM datasets. We want to see how your background aligns 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 clinical trials and how your skills can contribute to our team. Let us know what excites you about working in oncology.
Showcase Your Collaboration Skills: Since this role involves working closely with biostatisticians, highlight any past experiences where you’ve successfully collaborated on projects. We love seeing teamwork in action, so share those stories!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves!
How to prepare for a job interview at ICON
✨Know Your SAS Inside Out
Make sure you brush up on your SAS programming skills, especially with SDTM datasets. Be prepared to discuss specific projects where you've used SAS to analyse clinical trial data. This will show your expertise and confidence in handling the technical aspects of the role.
✨Understand Oncology Fundamentals
Since oncology experience is a must, take some time to review key concepts and recent advancements in cancer research. Being able to speak knowledgeably about oncology will demonstrate your commitment and understanding of the field, which is crucial for this position.
✨Prepare for Collaboration Questions
As the role involves working closely with biostatisticians, think of examples that showcase your teamwork skills. Prepare to discuss how you've successfully collaborated on projects in the past, highlighting your communication and problem-solving abilities.
✨Showcase Your Attention to Detail
In clinical trials, accuracy is everything. Be ready to provide examples of how you've ensured data integrity in your previous work. Discuss any validation processes you've implemented or challenges you've overcome to maintain high standards in your programming.
