Make your mark for patients
We are looking for a Principal Statistician who is collaborative, influential, and innovation-minded to join us in our Biometrics and Data Science team, based in our Raleigh, NC, Slough, UK, Brussels, Belgium or Monheim, Germany.
This is a hybrid position and requires employees to be in the office 40% of the time. This is not a remote role.
About the role
In this global role, you’ll be a key contributor to one or more compound indications (or early development compounds) for Statistics, reporting to a (Senior) Project Lead Statistician or Senior Principal Statistician (or East Asia Lead, if applicable). You will help shape development strategy and drive the direction for quantitative analytics, innovation, and reporting, while ensuring quality-by-design and first time-right delivery of Biometrics and Data Science deliverables across programs.
What you’ll do
1. Provide statistical leadership at indication/compound level across development stages
2. Translate strategy into tactical plans, operations, and quality delivery
3. Partner with leaders on development and regulatory strategy and design
4. Be accountable for biometrics deliverables supporting project decision making
5. Drive continuous improvement and transformation of the statistics operating model
6. Represent Biometrics/Statistics internally and externally to enhance reputation
Who you’ll work with
7. Biometrics and Data Science colleagues across statistics and programming
8. Cross-functional indication (or compound) teams across Development and Regulatory
9. Statistical Innovation partners to bring modern analytics and digital solutions
10. Internal and external stakeholders, including health authorities as needed
Interested? For this role we’re looking for the following education, experience and skills
Minimum Qualifications
11. Master’s degree.
12. Minimum of 6 years pharma industry experience (4 years with PhD).
Preferred Qualifications
13. PhD (preferred) in Statistics/Biostatistics (or equivalent)
14. Clinical trial design, analysis, and reporting experience in relevant phases
15. Proficient in statistical programming (e.g., SAS or R) and simulation tools
16. Strong stakeholder skills; explain complex quantitative concepts to non-experts
17. Knowledge of CDISC standards (SDTM/ADaM); submission experience
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!