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- Tasks: Support statistical programming for clinical trials and ensure high-quality deliverables.
- Company: Fast-growing, independent CRO known for exceptional service and flexibility.
- Benefits: Enjoy a healthy work-life balance with flexible hours and competitive pay.
- Why this job: Join a dynamic team and make a real impact in clinical research.
- Qualifications: Master’s or Ph.D. in Statistics or related field with SAS expertise.
- Other info: Fully remote role with exciting career growth opportunities.
The predicted salary is between 40000 - 50000 £ per year.
Join a fast-growing, independent CRO providing a broad range of expertise-based clinical research services to worldwide pharmaceutical, biotechnology, and medical device industries. Renowned for its high-quality deliverables, exceptional customer service, and flexibility in meeting clients’ needs, this growing organisation offers a flexible, dynamic, and entrepreneurial culture. With ongoing growth and exciting career opportunities, it’s the perfect place to advance your career.
We’re seeking several Statistical Programmers II to join this growing organisation remotely from the UK.
What you will be doing:
- You’ll support statistical programming activities across clinical trials, ensuring high-quality and timely deliverables.
- This includes developing and validating SDTM and ADaM datasets, performing QC checks, and ensuring CDISC compliance.
- You’ll assist with resolving Pinnacle 21 validation issues, contribute to the production and review of TLFs, and support regulatory submission activities.
- You will also help create define.xml files, develop and maintain SAS programs and macros, perform data integrity checks, and ensure appropriate documentation in line with SOPs.
What you will need:
- A Master’s or Ph.D. degree in Statistics, Biostatistics, Computer Science, or a related field.
- Approximately 3–5 years of experience in clinical trial statistical programming.
- Excellent knowledge of SAS is essential, with R considered advantageous.
- Good working knowledge of clinical data standards such as CDISC, SDTM, and ADaM.
- Understanding of TLFs, clinical data structures, and regulatory submission requirements.
What’s in it for you:
- The opportunity to be involved in a growing organisation.
- Enjoy a healthy work-life balance with flexible hours that fit your lifestyle.
- Fully remote role within the UK.
- Competitive remuneration package.
What to do next:
If this opportunity is of interest, please apply now with your CV, as the organisation is looking to arrange interviews for the Statistical Programmer II role as soon as possible.
Not what you’re looking for? Please contact Jo Fornaciari on +44 7488 822 859 for a confidential discussion about potential opportunities.
Statistical Programmer II in Chelmsford employer: Warman O'Brien
Contact Detail:
Warman O'Brien Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Statistical Programmer II in Chelmsford
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend relevant webinars, and join online forums. We all know that sometimes it’s not just what you know, but who you know that can help you land that Statistical Programmer II role.
✨Tip Number 2
Prepare for those interviews! Research common questions for statistical programming roles and practice your answers. We recommend using the STAR method (Situation, Task, Action, Result) to structure your responses and showcase your experience effectively.
✨Tip Number 3
Showcase your skills! Create a portfolio of your work, including any SAS programs or projects you've completed. This will give potential employers a tangible sense of your capabilities and how you can contribute to their team.
✨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’re always on the lookout for talented individuals like you to join our growing organisation.
We think you need these skills to ace Statistical Programmer II in Chelmsford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your expertise in SAS, CDISC, and any relevant clinical trial experience to catch our eye!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re the perfect fit for the Statistical Programmer II role. Share specific examples of your past work that align with what we’re looking for, and don’t forget to show your enthusiasm for joining our team!
Showcase Your Technical Skills: Since this role requires strong programming skills, make sure to detail your experience with SAS and any other relevant tools. If you’ve worked on SDTM or ADaM datasets, let us know how you contributed to those projects!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s quick and easy, and we can’t wait to see your application come through!
How to prepare for a job interview at Warman O'Brien
✨Know Your Stats
Brush up on your statistical programming knowledge, especially in SAS and R. Be ready to discuss your experience with SDTM and ADaM datasets, as well as any challenges you've faced in previous roles. This will show that you’re not just familiar with the tools but can also apply them effectively.
✨Understand the Company Culture
Research the company’s values and culture. Since they pride themselves on flexibility and exceptional customer service, think of examples from your past work where you demonstrated these qualities. This will help you connect with the interviewers and show that you’re a good fit for their team.
✨Prepare for Technical Questions
Expect technical questions related to clinical data standards and regulatory submissions. Review common issues related to Pinnacle 21 validation and be prepared to discuss how you would resolve them. This will demonstrate your problem-solving skills and expertise in the field.
✨Showcase Your Communication Skills
As a Statistical Programmer, you'll need to communicate complex data findings clearly. Prepare to discuss how you've collaborated with cross-functional teams in the past. Highlighting your ability to convey technical information in an understandable way will set you apart from other candidates.