Senior Professional, Statistical Programmer

Are you passionate about statistical programming ? Do you have experience within Clinical trials and CDISC standards?

If so, now is your chance to join Ascendis Pharma as our new Senior Professional or Specialist Statistical Programmer.

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 are applying our innovative TransCon® technology platform to fulfill our mission of developing new therapies that demonstrate best-in-class potential to address unmet medical needs.

At our headquarters in Hellerup, Denmark, research facilities in Heidelberg, Germany, and additional offices across Europe and the United States, we are advancing programs in our Endocrinology Rare Disease portfolios. We also collaborate with partners on the development of TransCon-based products in other therapeutic areas and markets.

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 executing statistical programming activities to support clinical data analysis, ensuring high-quality deliverables with a strong focus on data integrity and timelines. This is an exciting opportunity to work in a fast-paced environment, collaborate with cross-functional, global teams working together to achieve extraordinary results.

You will be joining the Hub Bravo team consisting of 16 colleagues, and report directly to Claus Stenberg, Director, Head of Statistical Programming Hub Bravo You will be based in Hellerup

Your key responsibilities will be:

• Statistical programming activities to support clinical data analysis
• Contribute to the development and maintenance of programming standards and code libraries
• Support our metadata-driven statistical programming initiatives
• Collaborate cross-functionally with international colleagues in a dynamic 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 2 years of experience working on clinical trials within the pharmaceutical and biotechnology industry, using SAS and/or R.

Furthermore, you have:

• Experience in the development and validation of ADaM datasets and TFLs
• Solid knowledge of regulatory submission standards, including CDISC SDTM, ADaM, Define-XML, ADRG, SDRG, and annotated CRFs
• Knowledge 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 be detail-oriented with a strong focus on quality and compliance, proactive in problem-solving, and able to communicate clearly with both technical and non-technical stakeholders.

  Travel: 10days per year.

Office: Ascendis Pharma, Tuborg Boulevard 12, 2900 Hellerup

Apply now.

We evaluate applications when received, so we encourage you to apply as soon as possible. Please note that we conduct interviews on a rolling basis and reserve the right to remove the job posting at any time.

To ensure your application is reviewed, please submit it through the specified platform - applications sent by email or other channels will not be evaluated. 

For more details about the position or the company, please contact Claus Stenberg, Director, phone Vis telefonnummer, e-mail: Se e-mailadresse på apply.workable.com

You can learn more about Ascendis by visiting our website

Applications must be submitted in English and will be treated confidentially.

A note to recruiters:

We do not allow external search party solicitation. Presentation of candidates without written permission from the Ascendis Pharma HR team (specifically from: Talent Acquisition Partner or Human Resources Director) is not allowed. If this occurs, your ownership of these candidates will not be acknowledged.