Biostatistics & Advanced Modeling Manager

Context: As part of its digital transformation, Ceva R D is strengthening its Biostatistics function and expanding its scope to include advanced modeling, Artificial Intelligence, and Machine Learning. This role aims to ensure statistical excellence across R D programs while developing data-driven models and decision-support tools.

It also plays a key role in harmonizing methodologies and practices across R D sites and entities.

Key Responsibilities

Lead the Biostatistics Function Manage and develop the biostatistics team and advanced modelling team (pharmacometry). Ensure the quality and scientific rigor of statistical analyses supporting R D studies. Guarantee compliance of statistical deliverables with regulatory requirements. Provide methodological guidance to clinical project teams and regulatory affairs.

Develop Advanced Modeling, AI and Machine Learning Capabilities Design and implement modeling and simulation approaches for R D programs: (Bayesian methods, pharmacometrics (PK/PD, population PK), modeling simulation, etc.) Develop, validate, and industrialize AI and Machine Learning models. Build analytical tools and decision-support solutions that generate actionable insights.

Promote best practices and support capability building across scientific teams. Drive Harmonization and Data Integration Define and deploy common methodological standards across R D sites. Ensure reproducibility, traceability, and quality of analyses. Contribute to scientific data governance in collaboration with the R D Data Office.