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Ascendis Pharma, a global biopharmaceutical company, is seeking a Statistical Programmer to join its biometrics team at the Hellerup headquarters. The company develops innovative therapies using its TransCon® technology platform, with research facilities in Heidelberg and offices across Europe and the United States.
You will play a key role in the development and evolution of progressive, metadata-driven SDTM programming to support clinical data analysis. Working within a team of 20 colleagues in a fast-paced environment, you will collaborate with cross-functional, global teams to advance clinical trial programs in endocrinology and rare disease portfolios.
Key Responsibilities:
- Contribute to planning, development, and continuous improvement of SDTM deliverables
- Develop automated programming solutions and metadata-driven approaches to support clinical trials
- Optimize metadata and their application
- Review clinical trial data and specifications to ensure high-quality deliverables
- Support metadata validation and quality control
- Collaborate cross-functionally with international colleagues
You will be detail-oriented, quality-focused, and committed to producing inspection-ready deliverables. The role requires effective communication with both technical and non-technical stakeholders, ownership of tasks, and a can-do attitude. Travel is approximately 10 days per year.
Requirements:
- Master's or PhD in statistics, mathematics, computer science, engineering, life sciences, or related field
- Minimum 5 years of SAS experience working on clinical trials in pharmaceutical, biotechnology, or medical device industry
- Experience with development and validation of SDTM datasets, including implementation of CDISC SDTM standards
- Solid knowledge of regulatory submission requirements and standards
- Interest in using AI as an integral part of all tasks
- Detail-oriented, analytical, and team-oriented mindset
- Ability to thrive in an informal, open environment where innovation and change are key
