Senior Data Scientist Full-time

Senior Data Scientist

Are you motivated to contribute in a global, multidisciplinary and scientific environment that fosters continuous professional growth? Join us at our Boxmeer Animal Health Manufacturing site as a:

Senior Data Scientist

Our Animal Health Boxmeer site is the global animal health business unit for one of the world's leading global healthcare companies. Animal Health offers veterinarians, farmers, pet owners and governments the widest range of veterinary pharmaceuticals, vaccines and health management solutions and services. Animal Health is dedicated to preserving and improving the health, well-being, and performance of animals while conducting its business according to the highest standards of quality, professionalism and integrity.

The position is part of the wider Science & Technology (S&T) Excellence Team. The S&T Excellence Team will oversee project and portfolio management, including New Product Commercialization and Transfer. It will provide support on Aseptic Excellence, Data Science, and strategic initiatives. The team will collaborate with Operations Excellence and Quality Excellence teams to drive operational excellence across Small Molecules and Large Molecules networks.

As Senior Data Scientist you take seat in the Data Science and Biostatistics COE that drives and delivers data driven solutions for prioritized products/activities across GAHM. They provide mentorship in data skills and lead projects on quality control methods, assay analysis, and regulatory evidence, while also working to reduce costs and improve yields.

The Senior Data Scientist plays a critical role in applying advanced data science methods to support and optimize manufacturing processes across Animal Health operations. This role acts as the key point of contact for assigned initiatives, particularly within blending process optimization, and collaborates closely with cross-functional teams in operations, quality, and global science & technology functions. The role requires strong technical expertise, communication skills, and leadership in promoting the use of data to improve decision-making, efficiency, and product quality.

Key Responsibilities

• Use data and statistical models to improve manufacturing processes and product quality.
• Build digital tools (like dashboards) to support automation and better decision-making.
• Lead blending process improvement projects and act as a subject matter expert.
• Manage key projects and coordinate with cross-functional teams.
• Work with stakeholders to understand needs and deliver practical data solutions.
• Investigate production issues and support root cause analysis using data.
• Help develop corrective actions in partnership with Quality and Manufacturing teams.
• Mentor junior team members and support knowledge sharing.
• Promote standardization, automation, and continuous improvement in analytics.
• Explore new data tools and approaches to drive innovation.

Your Profile

• Master's degree or PhD in Data Science, Statistics, Engineering, Applied Mathematics, or a related field.
• 3+ years of experience in applied data science or statistical roles, ideally in manufacturing or life sciences.
• Proficiency in R and/or Python; experience with RShiny, statistical modelling, and process simulation is highly desirable.
• Strong communication and stakeholder engagement skills; ability to present complex concepts to non-technical audiences.
• Experience working in cross-functional teams and influencing across global and local organizations.
• Background in biopharma, vaccines, or animal health manufacturing is an advantage.
• Familiarity with GMP environments and data integrity principles.
• Passion for innovation, simplification, and making data actionable.

What We Offer

We welcome you to a truly global, dynamic, and challenging environment with great opportunities for personal development. Our benefits are very competitive, and the summary below will give you an idea of what you can expect.

• Competitive salary and a 3% year-end allowance;
• 35,5 days of leave;
• Attractive collective health care insurance package with considerable reduction rates;
• Solid Pension Plan;
• Annual bonus based on own and company performance
• Travel allowance for commuting
• Numerous training, coaching, and e-learning modules for long term job opportunities and development

For questions about this vacancy, please send an email including the vacancy number and job title to the following email address:

RecruitmentNL@MSD.com