At a Glance
- Tasks: Lead clinical programming projects, develop high-quality datasets, and mentor junior programmers.
- Company: Join a world-leading data-focused CRO with a strong commitment to career development.
- Benefits: Competitive salary, ongoing training, and opportunities to explore new programming languages.
- Why this job: Make a real impact in global clinical research while growing your technical and leadership skills.
- Qualifications: Extensive SAS programming experience and a background in clinical research.
- Other info: Dynamic environment with clear paths for career advancement and professional growth.
The predicted salary is between 36000 - 60000 £ per year.
Are you an experienced statistical programmer ready to take the next step in your career? We are expanding our clinical programming team and are looking for a leader in programming, skilled in SAS who is confident working with clinical trial data and CDISC standards.
In this role, you will take real ownership of your work, lead projects, contribute to high quality analysis, and support junior team members as they grow. Your work will directly support global clinical research and the decisions that shape it.
If you enjoy solving complex data problems, working closely with others, and taking on responsibility in a supportive environment, this could be a great next move. This role will also introduce you to the senior levels of the organisation and if your goal is to become a Principal/Head of Department in your career this will give you a great insight.
What You’ll Do- Develop, validate, and deliver high quality clinical datasets and outputs using SAS, with a focus on SDTM and ADaM standards.
- Apply data quality and compliance checks using tools such as Pinnacle21.
- Proactively identify issues, communicate clearly, and help keep projects on track.
- Support junior programmers through day to day guidance, work reviews, and knowledge sharing.
- Contribute to study level programming activities, with opportunities to take on lead responsibilities depending on experience.
- Collaborate with cross functional partners in a hybrid working model, spending time in the office as needed to support the team.
- Ongoing development of your technical skills, including training on internal tools and exposure to evolving clinical programming practices.
- Clear opportunities to grow into lead and mentoring roles, building both technical depth and people skills.
- The option to explore additional programming languages such as R or Python to broaden your analytical capabilities.
- A culture that values ownership, initiative, and continuous improvement, where your contributions are visible and valued.
- Experience delivering clinical data outputs that support important research and regulatory decisions.
- This role offers a strong foundation for a long term career at the intersection of data, healthcare, and global research, with room to grow both technically and professionally.
Quanticate is the world leading data-focused CRO, and we often work with our customers on their complicated clinical trials which require a high level of statistical programming, statistics and data management input. We need talented individuals to help us fulfil our customers' needs.
Our customers range from top global pharmaceutical companies where you can work as an integrated team member on a world leading clinical program, to small biotechs that are taking their first steps in clinical development.
We strongly advocate career development providing membership to professional societies, encouraging your involvement in their activities and committees. Together we can help you build the career you want – developing your skills, working on challenging problems, to ultimately develop clinical therapies that matter.
Requirements- Education: BSc or Masters degree in a numerate discipline like Maths or Statistics or similar.
- Experience Needed: Extensive experience in SAS programming in clinical research studies. Experience working in a CRO. Experience in leading studies, including client facing experience, scope management, active risk management. Not just team assignments. Practical experience working with CDISC standards, specifically SDTM and ADaM datasets, along with familiarity using Pinnacle21 for compliance checks. Experience mentoring or supporting junior programmers, providing guidance and reviewing work.
- Good statistical skills.
- Good written and oral communication skills.
- Proven organisational skills.
- Strong analytical and problem-solving skills.
Benefits dependent on location.
Senior Programmer III in London employer: QUANTICATE INTERNATIONAL LIMITED
Contact Detail:
QUANTICATE INTERNATIONAL LIMITED Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Programmer III in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend 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 dream job.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your SAS skills. We recommend doing mock interviews with friends or using online resources to get comfortable talking about your experience with clinical trial data and CDISC standards.
✨Tip Number 3
Showcase your projects! If you've worked on any relevant programming projects, make sure to discuss them during interviews. We love seeing how candidates have tackled complex data problems and contributed to high-quality analysis.
✨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 ready to take ownership and grow with us.
We think you need these skills to ace Senior Programmer III in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Programmer III role. Highlight your SAS programming experience and any work with clinical trial data. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for statistical programming and how you’ve led projects in the past. Let us know why you’re excited about joining our team at StudySmarter.
Showcase Your Problem-Solving Skills: In your application, don’t forget to mention specific examples of complex data problems you’ve solved. We love seeing how you tackle challenges and keep projects on track!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at QUANTICATE INTERNATIONAL LIMITED
✨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, especially in relation to clinical trial data and CDISC standards. This will show that you not only have the technical skills but also the practical experience needed for the role.
✨Showcase Your Leadership Experience
Since this role involves leading projects and mentoring junior programmers, be ready to share examples of how you've taken ownership in past roles. Talk about situations where you've guided a team or resolved conflicts, as this will demonstrate your leadership capabilities.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your analytical and problem-solving skills. Think of complex data problems you've encountered and how you approached them. Use the STAR method (Situation, Task, Action, Result) to structure your answers clearly and effectively.
✨Understand the Company Culture
Research Quanticate's values and culture, particularly their focus on career development and collaboration. Be ready to discuss how your personal values align with theirs and how you can contribute to a supportive environment. This will show that you're not just a fit for the role, but for the company as a whole.