Make your mark for patients
We are looking for a Principal Statistician to join us in our Biometrics & Data Science team, to be based in any of our Brussels (Belgium), Monheim (Germany), Slough (UK) or Raleigh (US) offices.
About the role
You will be supporting late‑stage drug development across one or more programs. This is a high impact role for a statistician who values ownership, collaboration, and using data to enable confident development decisions and support regulatory submissions.
You will act as a key contributor, representing BDS within cross functional development teams, partnering closely with clinical, regulatory, and biometrics colleagues to shape strategy, deliver high‑quality outputs, and ensure our trials are decision‑ready, regulator‑ready, and inspection‑ready.
Who you’ll work with
You will report to a Project Lead Statistician and work within a highly collaborative, international Biometrics & Data Science team embedded in global development programs.
What you’ll do
1. Provide statistical leadership for one or more indications or compounds, with a focus on Phase 2/3 and late‑stage development
2. Act as a trusted biometrics partner within cross‑functional program teams, influencing development and regulatory strategy
3. Take accountability for high‑quality statistical deliverables, including study design input, DMC activities, analyses, and regulatory‑facing outputs
4. Translate development objectives into robust, practical, and innovative quantitative solutions.
5. Work closely with the Project Lead Statistician, Clinicians, Programmers, and Regulatory colleagues to enable timely, informed decision‑making
6. Identify risks and opportunities early, contributing thoughtfully to solutions
Interested? For this position you’ll need the following education, experience and skills:
7. PhD (preferred) or MSc in Statistics, Biostatistics, or a related discipline, with strong experience in the pharmaceutical industry
8. Strong experience in at least one phase of clinical development, with at minimum exposure to late stage or regulatory facing activities
9. Ability to design, analyse, and interpret clinical trials and communicate statistical concepts clearly to non‑statisticians
10. Experience working in cross‑functional, international project teams
11. Working knowledge of statistical programming (e.g. SAS or R) and sample sizing tools (e.g. EAST, nQuery, WinBugs)
12. Understanding of CDISC standards and regulatory expectations (e.g. FDA/EMA)
Are you ready to ‘go beyond’ to create value and make your mark for patients? If this sounds like you, then we would love to hear from you!