We are seeking a passionate Statistical Programmer to join our growing team. As a key member of the Ascendis Pharma team, you will play a crucial role in development and evolution of modern, metadata-driven SDTM programming to support clinical data analysis. This is an exciting opportunity to work in a fast-paced environment, collaborate with cross-functional, global teams working together to achieve extraordinary results.
Your key responsibilities will be:
Participating in the SDTM programming group, contributing to planning, development, and continuous improvement of SDTM deliverables;
Performing statistical programming activities to support clinical data analysis and reporting;
Collaborating cross-functionally with international colleagues in a dynamic and fast-paced organization.
Qualifications and Skills:
You hold a relevant academic degree, preferably a Master’s or PhD, in statistics, mathematics, computer science, engineering, life sciences, or a related field – and 5 years of experience working on clinical trials within the pharmaceutical and biotechnology industry, using SAS and/or R.
Furthermore, you have:
Experience with the development and validation of SDTM datasets, including implementation of CDISC SDTM standards;
Solid knowledge of regulatory submission requirements and standards, including CDISC SDTM, ADaM, Define-XML, ADRG, SDRG, and annotated CRFs;
Understanding of metadata-driven statistical programming approaches;
Familiarity with Python.
Key competencies:
You are a strong team player, analytical, and have a can-do attitude.
You possess an entrepreneurial mindset and can thrive in an informal, open environment where innovation and change are key.
To succeed in this role, we also expect you to:
Demonstrate strong attention to detail and a quality-focused mindset, ensuring inspection-ready deliverables;
Communicate clearly and effectively with both technical and non-technical stakeholders;
Take ownership of tasks and drive deliverables independently while maintaining alignment with project goals.
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