At a Glance
- Tasks: Develop and maintain SAS programs for clinical studies and collaborate with cross-functional teams.
- Company: Leading pharmaceutical company focused on innovative research and development.
- Benefits: Competitive salary, flexible hours, and opportunities for professional growth.
- Other info: Exciting projects with potential for career advancement in a supportive environment.
- Why this job: Join a dynamic team and make a real impact in the pharmaceutical industry.
- Qualifications: Master’s or PhD in relevant fields and experience in statistical programming.
The predicted salary is between 36000 - 60000 € per year.
Job Title: Senior Statistical Programmer (RWD)
Locations: United Kingdom and Ireland
Shift Schedule: 8:00 AM – 5:00 PM local time (based on candidate’s country)
Duration: Up to 2 years
Job Overview:
We are seeking an experienced Senior Statistical Programmer with strong expertise in statistical programming and Real World Evidence (RWE) studies. The ideal candidate will collaborate with biostatisticians, data managers, and clinical teams to provide high-quality programming support for the design, analysis, and reporting of interventional and observational studies within the pharmaceutical industry.
Key Responsibilities:
- Develop, validate, and maintain SAS programs to generate datasets, tables, listings, and figures (TLFs) for clinical and observational studies.
- Support programming deliverables across Phase IV, Medical Affairs, RWE, and HEOR studies.
- Ensure adherence to CDISC standards (SDTM and ADaM) for data structure and analysis.
- Collaborate with biostatisticians to implement statistical analysis plans (SAPs) and provide programming input during study design.
- Perform quality control (QC) checks and ensure accuracy and consistency of deliverables.
- Manage and manipulate Real World Data (RWD) for use in RWE analyses.
- Apply advanced analytical and statistical methods, including propensity score matching, causal inference, and mixed-effects modeling.
- Ensure documentation, programming specifications, and deliverables comply with regulatory and industry standards.
- Work collaboratively across multiple functional teams to meet timelines and project goals.
Core Essential Skill Sets:
- Master’s or PhD degree in Biostatistics, Statistics, Computer Science, or a related field.
- Proven experience in the pharmaceutical or CRO industry, providing programming and analytical support for clinical or observational studies.
- Experience working on Phase IV, Medical Affairs, Real World Evidence (RWE), or Health Economics and Outcomes Research (HEOR) studies.
- Hands-on experience in SAS programming; experience in R is an advantage.
- Experience with CDISC standards, including SDTM and ADaM datasets.
- Experience with Real World Data (RWD) and RWE methodologies, including propensity score analysis and causal inference.
- Familiarity with advanced statistical models, such as mixed-effects models for repeated measures, and exposure to Machine Learning (ML) techniques is desirable.
Senior Statistical Programmer in Southampton employer: princeps technologies
As a Senior Statistical Programmer at our company, you will thrive in a dynamic and collaborative work environment that values innovation and excellence. We offer competitive benefits, including flexible working hours and opportunities for professional development, ensuring that you can grow your skills while contributing to impactful Real World Evidence studies in the pharmaceutical industry. Located in the United Kingdom and Ireland, our teams enjoy a supportive culture that fosters teamwork and encourages a healthy work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Statistical Programmer in Southampton
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend relevant meetups, and engage on platforms like LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that Senior Statistical Programmer role.
✨Tip Number 2
Prepare for interviews by brushing up on your SAS programming skills and understanding RWE methodologies. We recommend doing mock interviews with friends or using online resources to get comfortable discussing your experience and how it relates to the job.
✨Tip Number 3
Showcase your projects! If you’ve worked on any relevant studies or programming tasks, create a portfolio or a presentation to highlight your achievements. We love seeing real-world examples of your work, especially when it comes to CDISC standards and advanced statistical methods.
✨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 looking for talented individuals who are passionate about making an impact in the pharmaceutical industry.
We think you need these skills to ace Senior Statistical Programmer in Southampton
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to highlight your experience in statistical programming and RWE studies. We want to see how your skills align with the job description, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Senior Statistical Programmer role. Share specific examples of your work with SAS and RWD that demonstrate your expertise.
Showcase Your Technical Skills:Don’t forget to emphasise your technical skills, especially in SAS programming and CDISC standards. We love seeing candidates who can clearly articulate their experience with advanced analytical methods and statistical models.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and keep track of all the amazing talent we’re looking to bring on board!
How to prepare for a job interview at princeps technologies
✨Know Your SAS Inside Out
Make sure you brush up on your SAS programming skills before the interview. Be prepared to discuss specific projects where you've developed, validated, and maintained SAS programs. Highlight your experience with generating datasets and TLFs, as this will show your practical knowledge in a real-world context.
✨Familiarise Yourself with CDISC Standards
Since adherence to CDISC standards is crucial for this role, take some time to review SDTM and ADaM datasets. Be ready to explain how you've implemented these standards in past projects, as this will demonstrate your attention to detail and understanding of regulatory requirements.
✨Showcase Your Collaboration Skills
This position requires working closely with biostatisticians and clinical teams. Prepare examples of how you've successfully collaborated in the past, particularly in developing statistical analysis plans or during study design. This will highlight your ability to work effectively in a team environment.
✨Prepare for Technical Questions
Expect technical questions related to advanced analytical methods like propensity score matching and mixed-effects modelling. Brush up on these topics and be ready to discuss how you've applied them in your previous roles. This will help you stand out as a knowledgeable candidate who can contribute to complex analyses.
