Non-Clinical and Diagnostics Statistician Intern

Zoetis • Kalamazoo, MI

7d • $40 • Onsite

About The Position

We are seeking a motivated Non-Clinical and Diagnostics Statistician Intern to join our animal health organization for a summer internship. In this role, you will work closely with and shadow full-time statisticians, gaining practical experience in the application of statistical methods to product development, manufacturing, and analytical activities. A focused independent project may also be available, providing the opportunity to work as an independent statistician and potentially develop a poster presentation. This internship is designed for a PhD student who is interested in learning how statisticians support science-based decision-making in a regulated animal health environment. You will have the opportunity to contribute to projects involving design of experiments, specification setting, acceptance criteria, statistical analysis, and data visualization while developing an understanding of how statistical thinking supports CMC programs.

Requirements

• Currently enrolled in a PhD program in statistics, biostatistics, applied statistics, or a related quantitative field.
• Coursework or practical experience in experimental design, regression, analysis of variance, or related statistical methods.
• Interest in applying statistics to pharmaceutical, biologics, veterinary medicine, animal health, or another life sciences setting.
• Ability to work on-site and collaborate effectively with a cross-functional team.

Responsibilities

• Support the planning and evaluation of designed experiments, including identifying factors, responses, and appropriate experimental designs.
• Assist with the analysis and visualization of experimental, process, and analytical data.
• Learn how statistical principles are applied to establish product and process specifications and acceptance criteria.
• Help interpret study results and communicate statistical conclusions to technical project teams.
• Participate in project meetings and gain exposure to interactions among statistics, analytical development, manufacturing, quality, and other CMC functions.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: Ph.D. or professional degree