Applied Statistics Senior Specialist

Job Description

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 professional with strong statistical knowledge to join our 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.

Primary Responsibilities

• 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

• Mentor colleagues and upskill stakeholders in statistical and data-driven thinking

• 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, machine learning and AI methodologies

• Collaborate closely with Operations, Quality, Engineering, and Regulatory teams across regions

Qualifications & Education

• MSc (or higher) in Statistics or related field with strong statistical emphasis

• Relevant hands-on experience in a data science, statistician or biostatistics role, preferably in pharmaceutical or manufacturing environments

Required Skills & Experience

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

• Proficiency in R and/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

Desired Skills (Nice to Have)

• Experience applying AI methodologies

• Exposure to Agile/DevOps practices and tools (JIRA, Confluence, Git)

• Familiarity with distributed compute environments (e.g., Spark)

• Experience generating statistical reports for regulatory filings or audits

• Willingness to travel

Our Offer

• Exciting work in a great team, global projects, international environment

• Opportunity to learn and grow professionally within the company globally

• Hybrid working model, flexible role pattern

• Internal reward system plus referral program

• Up-to-date laptop and iPhone, parking in the garage for drivers or showers for bikers

• Competitive salary, incentive pay, and many more

Ready to take up the challenge? Apply now!
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