Upstream Process Development, Scientist / Senior Scientist at Zoetis

Kalamazoo, Michigan, United States

Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Biotechnology, Animal HealthIndustries

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
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

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