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 are 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.
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.
Required skills: Data Analysis, Python, R, SAS.
Required languages: English.
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