
Posted 19 hours ago
Statistical Programmer
Ascendis Pharma(Senior) Specialist, Statistical Programmer
Requirements
Master's or PhD in statistics, mathematics, computer science, engineering, or life sciences, 5 years experience in clinical trials within pharma/biotech, Proficiency in SAS and/or R, Experience with SDTM dataset development and validation, Knowledge of CDISC standards (SDTM, ADaM, Define-XML, ADRG, SDRG), Familiarity with Python
Skills
SASRPythonCDISCSDTMADAM
About the role
Responsibilities
- Participate in the SDTM programming group, contributing to the planning, development, and continuous improvement of SDTM deliverables
- Perform statistical programming activities to support clinical data analysis and reporting
- Collaborate cross-functionally with international colleagues in a dynamic, fast-paced organization
- Develop and evolve modern, metadata-driven SDTM programming to support clinical data analysis
Requirements
- Master's or PhD in statistics, mathematics, computer science, engineering, life sciences, or a related field
- 5 years of experience working on clinical trials within the pharmaceutical or biotechnology industry
- Proficiency in SAS and/or R
- Experience with the development and validation of SDTM datasets and implementation of CDISC SDTM standards
- Solid knowledge of regulatory submission requirements and standards, including CDISC SDTM, ADaM, Define-XML, ADRG, and SDRG
- Understanding of metadata-driven statistical programming approaches
- Familiarity with Python
Preferred Qualifications
- Strong attention to detail and a quality-focused mindset for inspection-ready deliverables
- Ability to communicate effectively with both technical and non-technical stakeholders
- Entrepreneurial mindset with the ability to thrive in an informal, innovative environment
About the Company
Ascendis Pharma is a global biopharmaceutical company committed to making a meaningful difference in patients’ lives. Guided by our core values of Patients, Science, and Passion, we apply our innovative TransCon® technology platform to develop new therapies that address unmet medical needs in Endocrinology and Rare Diseases.
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Ascendis Pharma · Hellerup
