Some roles ask you to follow a process. This one asks you to shape it. At Zoetis, we’re advancing the science of animal health—and we’re looking for a scientist or engineer who can run bioreactors, think in models, and turn data into decisions. At the junction of upstream bioprocess development and modern analytics, you’ll own study design with DoE, translate CFD into practical scaling and control, and explore multivariate analytics and pragmatic models to drive gravity‑defying yields and process improvements.

You’ll partner across functions by listening well, learning quickly, and communicating clearly to deliver decisions and solutions. If you’re ready to take ownership, share success with teams that value clear thinking, and accelerate your career in a space where science meets purpose, we’d love to meet you.

Responsibilities:

• Design, run, and interpret mammalian cell culture experiments in shake flasks and bioreactors for monoclonal antibodies and proteins
• Apply DoE, statistical models, and scale‑up principles to optimize processes
• Design, execute, and translate CFD modeling into actionable scaling and control strategies
• Champion multivariate analyses and modeling (e.g., PCA, time‑series analytics), and explore mechanistic models and hybrid/ML approaches where they add value
• Leverage digital tools and data systems to improve process understanding and decision‑making
• Collaborate across upstream, downstream, formulation, and analytical teams
• Document work in electronic lab notebooks and author high‑quality technical reports
• Support tech transfers and regulatory filings with clear, traceable documentation
• Drive innovation by evaluating new bioprocess technologies and modeling approaches to improve workflows

Basic Qualifications:

• Biochemistry, Molecular Biology, Biotechnology, Chemical/Biological/Biomedical Engineering, or related field.
• BS and 4-7+ years industry experience, or
• MS and 1-3+ years industry experience, or
• PhD with relevant research and/or 0–3+ years industry experience

Preferred Qualifications:

• Strong upstream bioprocess foundation: cell culture and bioreactor operation (fed‑batch, perfusion)
• Scale-up/scale-down fluency and mass transfer fundamentals
• DoE and MVDA literacy; experience with statistical tools a plus
• CFD literacy with applied impact; hands‑on experience a plus
• Familiarity with scientific computing and data analysis tools and languages; capacity to interpret and adopt quickly
• Exposure to mechanistic/kinetic modeling (e.g. Monod growth kinetics) and practical ML
• Clear, first‑principles reasoning; can explain assumptions and design validation experiments
• Success bridging bench science, process engineering, and data science; strong communication and organization

Full time

Regular

Colleague

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