Biostatistics & Advanced Modeling Manager

Biostatistics & Advanced Modeling Manager

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As a global leader in animal health, Ceva Animal Health believes our success is linked to our passionate people researching, developing , producing and supplying innovative health solutions for all animals, which contributes to the future of our diverse planet.

We are committed to ensuring the highest possible level of care and well-being for farm animals (poultry, pigs, ruminants), companion animals (dogs and cats) and wildlife.

Indeed, Our “Together, Beyond Animal Health” vision emphasizes that the health and wellbeing of people, animals and our planet are totally interlinked. More than ever, Ceva is committed to a \"One Health\" approach.

As part of our “Diversity, Equity and Inclusion” policy, Ceva Animal Heath is committed to the employment of people with disabilities and will make reasonable accommodations throughout the interview process to ensure an inclusive and accessible experience for all applicants. To request an accommodation, please contact a member of the Ceva Talent Acquisition team.

Yourmissions :

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.

Yourprofile :

Profile :

• Master's degree or PhD in Biostatistics, Statistics, Pharmacometrics, or a related quantitative discipline.
• 5 to 10 years of experience in biostatistics applied to R&D, including team leadership responsibilities.
• Strong expertise in applied statistics, advanced modeling, and Machine Learning.
• Proficiency in R, Python, SAS, and version control tools such as Git.
• Knowledge of regulated environments and data integrity standards (VICH, GCP, ALCOA+).
• Strong leadership, communication, and stakeholder management skills.
• Fluent in both French and English.

Technical Environment: R, Python, SAS, Git, Jupyter, ML frameworks, Snowflake.

Location: Libourne, France, with strong collaboration across international R&D teams, particularly in Hungary.