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- Tasks: Join a dynamic team as a Senior Statistical Programmer, driving innovation in clinical trials.
- Company: Cytel partners with leading pharmaceutical clients to revolutionise patient treatment.
- Benefits: Enjoy remote work flexibility and a supportive environment for personal growth.
- Why this job: Be at the forefront of healthcare advancements while working autonomously on impactful projects.
- Qualifications: Bachelor’s degree in Statistics or related field; 8+ years SAS programming experience required.
- Other info: Experience in immunology, respiratory, or oncology studies is a plus.
The predicted salary is between 42000 - 84000 £ per year.
Working fully embedded within one of our pharmaceutical clients, with the support of Cytel right behind you, you will be at the heart of our client’s innovation. As a Senior Statistical Programmer, you will be dedicated to one of our global pharmaceutical clients; a company that is driving the next generation of patient treatment, where individuals are empowered to work with autonomy and ownership. This is an exciting time to be a part of this new program.
Position Overview:
As a Senior Statistical Programmer, you will leverage your advanced SAS programming skills and proficiency in CDISC standards (SDTM & ADaM) to support or lead one or more Phase I-IV clinical trials. This role can be performed as fully remote.
How you will contribute:
- Performing data manipulation, analysis and reporting of clinical trial data, both safety and efficacy (ISS/ISE), utilizing SAS programming
- Generating and validating SDTM and ADaM datasets/analysis files, and tables, listings, and figures (TLFs)
- Production and QC / validation programming
- Generating complex ad-hoc reports utilizing raw data
- Applying strong understanding/experience of Efficacy analysis
- Creating and reviewing submission documents and eCRTs
- Communicating with and/or responding to internal cross-functional teams and client for project specifications, status, issues or inquiries
- Performing lead duties when called upon
- Serving as team player, with a willingness to go the extra distance to get results, meet deadlines, etc.
- Being adaptable and flexible when priorities change
To be successful in this position you will have:
- Bachelor’s degree in one of the following fields: Statistics, Computer Science, Mathematics, etc.
- At least 8 years of SAS programming working with clinical trial data in the Pharmaceutical & Biotech industry with a bachelor’s degree or equivalent. At least 6 years of related experience with a master’s degree or above.
- Study lead experience, preferably juggling multiple projects simultaneously preferred.
- Strong SAS data manipulation, analysis and reporting skills.
- Solid experience implementing the latest CDISC SDTM / ADaM standards.
- Strong QC / validation skills.
- Good ad-hoc reporting skills.
- Proficiency in Efficacy analysis.
- Familiarity with drug development life cycle and experience with the manipulation, analysis and reporting of clinical trials’ data.
- Submissions experience utilizing define.xml and other submission documents.
- Experience supporting immunology, respiratory or oncology studies would be a plus.
- Excellent analytical & troubleshooting skills.
- Ability to provide quality output and deliverables, in adherence with challenging timelines.
- Ability to work effectively and successfully in a globally dispersed team environment with cross-cultural partners.
Contact Detail:
Job Traffic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Statistical Programmer FSP
✨Tip Number 1
Familiarise yourself with the latest CDISC SDTM and ADaM standards, as these are crucial for the role. Consider joining online forums or groups where professionals discuss these standards to gain insights and tips from others in the field.
✨Tip Number 2
Network with professionals who are currently working in the pharmaceutical industry, especially those involved in clinical trials. Attend relevant webinars or conferences to make connections that could lead to referrals or insider information about the role.
✨Tip Number 3
Brush up on your SAS programming skills by taking advanced courses or certifications. This will not only enhance your knowledge but also demonstrate your commitment to staying updated in your field when you engage with potential employers.
✨Tip Number 4
Prepare to discuss your experience with data manipulation and analysis during interviews. Be ready to provide specific examples of how you've successfully handled complex datasets and met tight deadlines in previous roles.
We think you need these skills to ace Senior Statistical Programmer FSP
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your SAS programming skills and experience with CDISC standards. Emphasise any relevant projects or roles that demonstrate your ability to handle clinical trial data.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific experiences that align with the job description, such as your work with Phase I-IV clinical trials and your familiarity with drug development.
Showcase Relevant Experience: When detailing your work history, focus on your experience in the pharmaceutical and biotech industries. Highlight any study lead roles and your ability to manage multiple projects simultaneously.
Prepare for Technical Questions: Be ready to discuss your technical skills in SAS programming and your understanding of efficacy analysis. Prepare examples of complex reports you've generated and how you ensured quality control in your work.
How to prepare for a job interview at Job Traffic
✨Showcase Your SAS Skills
Be prepared to discuss your advanced SAS programming skills in detail. Bring examples of how you've used SAS for data manipulation and analysis in previous clinical trials, especially focusing on SDTM and ADaM standards.
✨Demonstrate Your Understanding of CDISC Standards
Make sure you can explain the importance of CDISC standards in clinical trials. Be ready to discuss your experience with generating and validating datasets, as well as any challenges you've faced and how you overcame them.
✨Highlight Your Teamwork and Leadership Experience
Since this role involves working closely with cross-functional teams, share specific examples of how you've collaborated with others. If you've led projects or teams, be sure to mention this and describe your approach to leadership.
✨Prepare for Technical Questions
Expect technical questions related to data analysis and reporting. Brush up on your knowledge of efficacy analysis and be ready to discuss how you've applied it in your work, including any relevant ad-hoc reporting you've done.
