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.
Job description provided by Ceva Animal Health.
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