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About the Role

The S&T Data Science & Biostatistics team plays a critical role in enabling data-informed decision-making across Global Animal Health Manufacturing. We are seeking a Data Science professional with strong statistical knowledge to join our client´s team.

This role offers the opportunity to apply advanced statistical methods to complex challenges in pharmaceutical manufacturing, where data science applications differ from standard use cases: limited data availability, complex process mapping, and black-box bioprocesses that require robust statistical design and simulation.

You will contribute to key business areas such as quality control, yield optimization, maintenance, deviation management, and regulatory submissions. As part of an innovation-driven and globally dispersed team, this position provides an excellent platform to expand your expertise in both advanced data science and applied statistics.

What You Will Do

• 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.

What We Are Looking For

• MSc (or higher) in Statistics, Mathematics, Computer Science, Physics, Economics, or related field with strong statistical and data science emphasis.

• Minimum 2 years’ hands-on experience in a data science, statistician or biostatistics role, preferably in pharmaceutical or manufacturing environments.

Required Skills

• Knowledge of DOE, SPC, GLMs, multivariate methods, simulations, predictive modeling, time series, stochastic processes, optimization, and machine learning.

• Proficiency in R or Python.
• Strong coding practices, with experience using collaborative tools (e.g., Git).
• Ability to work with incomplete or imperfect data and interpret results within the manufacturing/business context.
• Strong analytical and problem-solving skills.
• Excellent communication and interpersonal skills.
• Comfortable working independently as well as collaboratively in a global team.

Nice to Have

• Experience applying AI methodologies.

• Familiarity with distributed compute environments (e.g., Spark).
• Experience generating statistical reports for regulatory filings or audits.
• Exposure to Agile/DevOps practices and tools (JIRA, Confluence, Git).
• Willingness to travel.

What’s in It for You

• Opportunity to work on high-impact, real-world manufacturing problems
• Exposure to advanced applied statistics beyond typical data science roles
• Collaboration with international experts in a globally distributed team
• Hybrid working model

Additional information

• 25 days of holiday, 5 sick days, home office contribution, meal voucher, annual bonus, multisport, laptop
• Initial 1-year employment contract with potential extension.