Director of Biostatistics

AAVantgarde is a clinical-stage biotechnology company advancing best-in-class therapies for patients with inherited retinal diseases. The company's lead programs target Stargardt disease and retinitis pigmentosa due to Usher syndrome type 1B - two severe inherited retinal diseases with no approved treatments. With a strong foundation in translational science and a commitment to clinical excellence, AAVantgarde is working to bring transformative therapies to patients.

A senior, hands-on statistical role within Biometrics. The Director will personally lead statistical strategy and execution on assigned ophthalmology studies and contribute to cross-programme methodology and innovation. Technical leadership and hands-on delivery are at the heart of the role. Close partnership with Clinical Development, Regulatory, Data Management, and Statistical Programming is essential.

• Act as lead statistician end-to-end on assigned studies, personally driving design, analysis, and interpretation.
• Author statistical sections of protocols, SAPs, and regulatory documents, including estimand framework, sample size, and analysis methodology.
• Hands-on application of MMRM, mixed models, longitudinal analyses, multiple imputation, and Bayesian approaches where justified.
• Design and interpret sensitivity and supplementary analyses aligned with ICH E9(R1).
• Perform and QC statistical analyses directly; review outputs at code and dataset level as needed.
• Support health authority interactions and author statistical content for briefing documents.
• Oversee CRO/FSP statistical deliverables from a technical standpoint.
• Champion modern statistical computing (SAS, R, Python) and AI-enabled analytics.

• PhD in Statistics or Biostatistics preferred; MSc with equivalent experience considered.
• Significant and proven biostatistics experience in pharma, biotech, or CRO.
• Demonstrated lead-statistician experience, ideally including ophthalmology or a therapeutic area with imaging- and function-based endpoints.
• Deep fluency in ICH E9 / E9(R1), longitudinal methods, missing-data approaches, and multiplicity control.
• Strong hands-on proficiency in SAS and R; familiarity with modern data platforms a plus.

Rigorous, pragmatic, delivery-focused, and patient-centred. A hands-on doer who enjoys being close to the data and the methodology. A clear communicator, curious about new methods and tools, and committed to the highest standards of scientific quality.

Compensation will be a competitive salary, share options, pension and target bonus