At a Glance
- Tasks: Lead clinical programming projects, develop high-quality datasets, and support junior team members.
- Company: Join Quanticate, a leading data-focused CRO with a commitment to career development.
- Benefits: Competitive benefits, ongoing training, and opportunities to explore new programming languages.
- Why this job: Make a real impact on global clinical research while advancing your career.
- Qualifications: Extensive SAS programming experience and strong analytical skills required.
- Other info: Dynamic environment with clear paths for growth into leadership roles.
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.
What You’ll Gain
- 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.
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.
- 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.
Skills
- Good statistical skills.
- Good written and oral communication skills.
- Proven organisational skills.
- Strong analytical and problem-solving skills.
Benefits
Benefits dependent on location. 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.
Senior Programmer III employer: Quanticate
Contact Detail:
Quanticate Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Programmer III
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend relevant meetups, and engage with professionals on platforms like LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by brushing up on your SAS skills and understanding CDISC standards inside out. Practice common interview questions related to clinical programming and be ready to showcase your problem-solving abilities with real-world examples.
✨Tip Number 3
Don’t just apply blindly! Tailor your approach by researching the company and its projects. When you apply through our website, make sure to highlight how your experience aligns with their needs and how you can contribute to their clinical programming team.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in showing your enthusiasm for the role. It’s also a great opportunity to reiterate why you’re the perfect fit for the position and to keep yourself top of mind.
We think you need these skills to ace Senior Programmer III
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior Programmer III role. Highlight your SAS programming expertise, experience with CDISC standards, and any leadership roles you've taken on. We want to see how you can contribute to our clinical programming team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about clinical programming and how your background makes you a perfect fit for this position. Don’t forget to mention your experience in mentoring junior programmers – we love seeing that leadership spirit!
Showcase Your Problem-Solving Skills: In your application, give examples of complex data problems you've solved in the past. We’re looking for someone who can proactively identify issues and keep projects on track, so share those success stories that demonstrate your analytical prowess!
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 don’t miss out on any important updates. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Quanticate
✨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 know-how but also practical experience.
✨Showcase Your Leadership Experience
Since this role involves leading projects and mentoring junior programmers, be ready to share examples of how you've taken charge in previous roles. Talk about how you've supported team members and contributed to their growth, as well as any client-facing experiences you've had.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your analytical and problem-solving skills. Think of complex data problems you've solved in the past and be ready to explain your thought process. This will demonstrate your ability to tackle challenges head-on, which is crucial for this position.
✨Understand the Company Culture
Familiarise yourself with the company's values and culture, particularly their emphasis on ownership and continuous improvement. Be prepared to discuss how your personal values align with theirs and how you can contribute to a supportive environment while driving high-quality analysis.