Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead statistical programming for clinical studies and ensure high-quality deliverables.
- Company: Join Novartis, a leader in reimagining medicine for better lives.
- Benefits: Hybrid work model, competitive salary, and opportunities for personal and professional growth.
- Why this job: Make a real impact in drug development and improve patient outcomes.
- Qualifications: Experience in statistical programming, especially with SAS, and strong communication skills.
- Other info: Collaborative environment with a focus on innovation and career advancement.
The predicted salary is between 43200 - 72000 £ per year.
Location: Basel, Switzerland
Working Model: Hybrid (12 days per month on-site)
Alternate Location: London (The Westworks), United Kingdom
Working model(s): Hybrid (12 days per month on-site if living within 50 miles of our London office), Remote (if living beyond 50 miles of our London office)
Responsible for all statistical programming/data review reporting and analytics development aspects of several studies, a medium to large sized project or project-level activities. Acts as a key collaborator and strategic partner in ensuring that drug-development plans are executed efficiently with timely and high quality deliverables. Complies with project/study standards and specifications following internal and regulatory guidelines. Oversees programming style, quality of statistical reporting & compliance with timelines.
Our Development Team is guided by our purpose: to reimagine medicine to improve and extend people’s lives. To do this, we are optimizing and strengthening our processes and ways of working. We are investing in new technologies and building specific therapeutic area and platform depth and capabilities – all to bring our medicines to patients even faster. We are seeking key talent, like you, to join us and help give people with disease and their families a brighter future to look forward to. Apply today and welcome to where we thrive together!
The Senior Principal Programmer is responsible for all statistical programming aspects of several studies, a medium to large sized project or project-level activities (incl. submission and post-marketing activities). The position is a key collaborator and strategic partner with biostatistics in ensuring that pharmaceutical drug-development plans in Novartis Global Drug Development are executed efficiently with timely and high-quality deliverables.
Key Accountabilities:- Lead statistical programming activities as Trial Programmer for several studies or as Lead/Program Programmer for a medium to large sized project in phase I to IV clinical studies in Novartis Global Development Organization.
- Co-ordinate activities of programmers either internally or externally. Make statistical programming decisions and propose strategies at study or project level.
- May act as functional manager for local associates including providing supervision and advice to these programmers on functional expertise and processes.
- Build and maintain effective working relationship with cross-functional teams, able to summarize and discuss status of deliverables and critical programming aspects (timelines, scope, resource plan), e.g. as SP representative in study- or project-level team.
- Review eCRF, discuss data structures and review activities, ensure project-level standardization which allows pooling and efficient CRT production.
- Comply with company, department and industry standards (e.g. CDISC) and processes, assess and clarify additional programming requirements, review, develop and influence programming specifications as part of the analysis plans (incl. CSPD and other project-level strategies).
- Provide and implement statistical programming solutions; ensure knowledge sharing. Act as programming expert in problem-solving aspects.
- Ensure timely and quality development and validation of datasets and outputs for CSRs, regulatory submissions/interactions, safety reports, publications, post-marketing activities or exploratory analyses (as required) in the assigned drug development studies/project.
- Responsible for quality control and audit readiness of all assigned statistical programming deliverables as well as accuracy and reliability of statistical analysis results.
- Maintain up-to-date advanced knowledge of programming software (e.g. SAS) as well as industry requirements (e.g. CDISC SDTM/ADaM, eCTD, Define.xml), attend functional meetings and trainings.
- Establish successful working relationship on individual studies with external associates according to agreed contract and internal business guidance.
- Act as subject matter expert (SME) or, as assigned, lead process improvement/non-clinical project initiatives with a focus on programming and analysis reporting procedures.
- BA/BS/MS or international equivalent experience in statistics, computer science, mathematics, life sciences or related field.
- Work experience in a programming role preferably supporting clinical trials or in pharmaceutical industry.
- Expert SAS experience and proven skills in the use of SAS within a Statistical Programming environment to develop and validate deliverables, proven experience in development of advanced MACROs.
- Advanced experience in contributing to statistical analysis plans and/or constructing technical programming specifications.
- Advanced knowledge of industry standards including CDISC data structures as well as a solid understanding of the development and use of standard programs.
- Good understanding of regulatory requirements relevant to Statistical Programming (e.g. GCP, study procedures).
- Proven communications and negotiation skills, ability to work well with others globally and influence.
- Experience as Trial/Lead/Project Programmer for several studies or project-level activities, including coordination of team of internal or external programmers on a given study/project, ability to transfer own knowledge to others.
Novartis is committed to working with and providing reasonable accommodation to all individuals. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to receive more detailed information about the essential functions of a position, please send an e-mail to inclusion.switzerland@novartis.com and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
Benefits and Rewards:Learn about all the ways we’ll help you thrive personally and professionally.
Senior Principal Statistical Programmer employer: Novartis Farmacéutica
Contact Detail:
Novartis Farmacéutica Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Principal Statistical Programmer
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, 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
Prepare for interviews by researching the company and its projects. Familiarise yourself with their drug development processes and be ready to discuss how your skills can contribute. We want to see your passion for improving lives through medicine!
✨Tip Number 3
Practice your responses to common interview questions, especially those related to statistical programming and project management. We recommend doing mock interviews with friends or mentors to build confidence and polish your delivery.
✨Tip Number 4
Don’t forget to follow up after interviews! A simple thank-you email can go a long way in showing your enthusiasm for the role. Plus, it keeps you on their radar. And remember, apply through our website for the best chance at landing that dream job!
We think you need these skills to ace Senior Principal Statistical Programmer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Principal Statistical Programmer role. Highlight your experience with statistical programming, especially in clinical trials, and showcase your SAS skills. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about drug development and how your expertise can contribute to our mission. Keep it concise but impactful – we love a good story!
Showcase Your Collaboration Skills: As a key collaborator, it's essential to demonstrate your ability to work well with cross-functional teams. Share examples of past projects where you successfully coordinated with others, as this will resonate with us at StudySmarter.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s straightforward and ensures your application goes straight to the right people. Don’t miss out on this opportunity!
How to prepare for a job interview at Novartis Farmacéutica
✨Know Your Stats
Brush up on your statistical programming knowledge, especially with SAS. Be ready to discuss your experience with advanced MACROs and how you've applied them in previous projects. This will show that you’re not just familiar with the tools but can also leverage them effectively.
✨Understand the Role
Make sure you fully understand the responsibilities of a Senior Principal Statistical Programmer. Familiarise yourself with the drug development process and be prepared to discuss how you can contribute to efficient execution and high-quality deliverables in clinical studies.
✨Showcase Collaboration Skills
Since this role involves working closely with cross-functional teams, think of examples where you've successfully collaborated with others. Highlight your communication and negotiation skills, as well as any experience you have in leading or coordinating teams.
✨Prepare for Regulatory Questions
Be ready to discuss your understanding of regulatory requirements relevant to statistical programming, such as GCP and CDISC standards. This shows that you’re not only technically skilled but also aware of the compliance aspects that are crucial in the pharmaceutical industry.
