Applied Statistics Specialist

About the Role

Join us in shaping data‑driven decisions at the heart of global Animal Health manufacturing. We are looking for an Applied Statistics Specialist to join our Data Science & Biostatistics team, which is at the forefront of enabling data‑informed decision‑making across Global Animal Health Manufacturing.

As an Applied Statistics Specialist, you will have the opportunity to apply advanced statistical methods to complex and meaningful challenges in pharmaceutical manufacturing—an environment where data science looks different from typical use cases. You’ll work with limited or imperfect data, navigate complex process landscapes, and explore bioprocesses that often require thoughtful statistical design, simulation, and problem‑solving.

In this position, you will contribute to important business areas such as quality control, yield optimization, maintenance, deviation management, and regulatory submissions. As part of a globally connected and innovation‑driven team, you’ll have the opportunity to grow your expertise in both advanced data science and applied statistics, while making a tangible impact on real‑world processes and outcomes.

• Lead end‑to‑end data science and statistical projects to address manufacturing challenges, applying advanced methods (DOE, SPC, regression, GLMs, multivariate analysis, optimization, simulation, predictive modeling, machine learning, etc.).
• Perform data quality assessments, maintain metadata awareness, and prepare reports for stakeholders and regulatory submissions.
• Develop reproducible, well‑documented code and data science pipelines.
• Automate repeatable tasks and integrate data science into operational workflows.
• Communicate complex statistical and modeling results clearly to both technical and non‑technical audiences, and provide actionable recommendations.
• Stay current with modern predictive modeling, statistical methods and machine learning methodologies.
• Collaborate closely with Operations, Quality, Engineering and Regulatory teams across regions.

• An MSc (or higher) in Statistics, Mathematics, Computer Science, Physics, Economics, or a related field, with a strong focus on statistics and data science.
• At least 2 years of hands‑on experience in data science, statistics or biostatistics role; experience in pharmaceutical or manufacturing environments is a plus.
• Familiarity with methods such as DOE, SPC, GLMs, multivariate analysis, simulations, predictive modeling, time series, stochastic processes, optimization and machine learning.
• Proficiency in R and/or Python.
• Experience with sound coding practices and collaborative tools (e.g., Git), or a willingness to learn.
• Ability to work with incomplete or imperfect data and translate insights into meaningful recommendations within a manufacturing or business context.
• Strong analytical thinking and problem‑solving skills.
• Clear and effective communication skills, with the ability to engage a variety of stakeholders.
• Comfortable working independently, while also thriving in a collaborative, international team environment.

We welcome you to a truly global, dynamic and challenging environment with great opportunities for personal development. Our benefits depend on the job location but are, in any case, very competitive.

Animal Health Division Our Animal Health division is a trusted global leader in veterinary medicine, dedicated to the health and well‑being of animals. We are a global team of professionals working together to make a positive difference in animal care and the world’s food supply and have a deep sense of responsibility towards our customers, consumers, animals, society and our planet.

We offer one of our industry’s most innovative portfolio of products, services and technologies that serve to prevent, treat, and control diseases across all major farm and companion animal species.