At a Glance
- Tasks: Lead programming efforts to analyse and report clinical trial data using SAS and R.
- Company: Join a leading biotech firm dedicated to innovative healthcare solutions.
- Benefits: Attractive salary, health benefits, flexible working options, and career advancement opportunities.
- Other info: Collaborative environment with a focus on professional growth and industry best practices.
- Why this job: Make a real difference in healthcare by contributing to groundbreaking clinical research.
- Qualifications: 8+ years of SAS programming experience; R programming knowledge is a plus.
The predicted salary is between 60000 - 80000 £ per year.
The Principal Statistical Programmer will provide expert-level hands‑on principal programming support and technical leadership to develop, maintain, validate and run SAS computer programs that access, visualize, analyze, and report clinical trial data, in accordance with statistical analysis plans, ICH guidelines, and applicable regulatory requirements. The ability to work independently with a strong expertise in SAS/GRAPH programming is required. While SAS expertise is required, experience with R programming, particularly data visualization and exploratory analysis, is strongly preferred.
Summary of Key Responsibilities
- Write programs that produce or validate tables, listings, figures and analysis datasets, in support of clinical studies or complex integrated analyses for submission;
- Develop and follow good programming practices, including adequately documenting SAS and R code;
- Perform, plan and coordinate project work to ensure timely, quality delivery across multiple projects;
- Use, modify, and maintain existing SAS and R code;
- Write specifications to describe programming needs;
- Create and validate global macros or systems that streamline repetitive operations to increase programming efficiency;
- Keep abreast of current and new statistical programming techniques and other applicable technical advancements while assisting in their implementation;
- Provide input into, or lead general standardization efforts (e.g., CRFs, query checks, standard statistical programs, data presentations);
- Assist or lead efforts to develop programming processes consistent with industry best practices;
- Review DMP, eCRF specs, and other clinical data management documents;
- Review statistical analysis plans and other related documents;
- Partner with or oversee CROs or Programming vendors to perform any of the above tasks;
- Other duties as assigned.
Qualifications
- At least 8 years’ industry (Pharmaceutical, Biotech, CRO) SAS programming experience or equivalent;
- Knowledge of clinical trials and experience in using SAS to report the results of clinical trials and/or integrated analysis for submission;
- Experience in constructing technical programming specifications and producing complex, validated programs;
- Strong experience in working with CDISC standards, including SDTM, and ADaM, and Define XML;
- Preferred experience in R programming;
- Excellent knowledge of applied statistical methodologies;
- Excellent knowledge of SAS Macro, SAS/SQL, SAS/GRAPH, and SAS/STAT;
- Good communication and organizational skills required;
- Bachelor’s Degree required, Master’s Degree Preferred;
- Clear alignment with Alnylam Core Values.
Principal Statistical Programmer employer: Alnylam Pharmaceuticals
As an Associate Director in Brand Marketing for Rare Diseases, you will join a dynamic and innovative team dedicated to improving patients' lives through strategic marketing initiatives. Our company fosters a collaborative work culture that values employee growth, offering opportunities for professional development and the chance to make a meaningful impact in the rare disease space. Located in a vibrant international setting, we provide a supportive environment where your contributions are recognised and rewarded, making us an excellent employer for those seeking a fulfilling career in the pharmaceutical industry.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Statistical Programmer
✨Tip Number 1
Network like a pro! Reach out to your connections in the pharmaceutical and biotech industries. Attend relevant meetups or webinars, and don’t be shy about asking for introductions. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SAS and R programming projects. Include examples of tables, listings, and figures you've produced. This will give potential employers a clear view of your expertise and how you can contribute to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with CDISC standards and how you’ve implemented good programming practices in past roles. We want you to shine and show them you’re the right fit for the Principal Statistical Programmer position!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged. So, get your application in and let’s get you one step closer to landing that dream job!
We think you need these skills to ace Principal Statistical Programmer
Some tips for your application 🫡
Show Off Your SAS Skills:Make sure to highlight your expertise in SAS programming right from the get-go. We want to see how you've used SAS to tackle real-world problems, especially in clinical trials. Don’t forget to mention any experience with SAS/GRAPH and how it’s helped you visualise data effectively!
R Programming Experience Counts:If you've dabbled in R, especially for data visualisation or exploratory analysis, let us know! We’re keen on seeing how you can bring that experience into our team. Share specific examples of projects where R made a difference.
Document Your Work:Good programming practices are key! When you write your application, emphasise how you document your SAS and R code. This shows us that you value clarity and efficiency, which is super important in our line of work.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it’s super easy to do!
How to prepare for a job interview at Alnylam Pharmaceuticals
✨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 used SAS/GRAPH, and be ready to demonstrate your understanding of statistical analysis plans and regulatory requirements.
✨Show Off Your R Skills
While SAS is crucial, having a solid grasp of R programming can set you apart. Prepare examples of how you've used R for data visualisation and exploratory analysis, and be ready to discuss any relevant projects or challenges you've faced.
✨Understand Clinical Trials
Familiarise yourself with the clinical trial process and CDISC standards like SDTM and ADaM. Being able to speak knowledgeably about these topics will show that you’re not just a programmer but also understand the context of your work.
✨Prepare Questions for Them
Interviews are a two-way street! Think of insightful questions to ask about their programming practices, team dynamics, and how they implement industry best practices. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
