Upstream Process Development, Scientist / Senior Scientist
Zoetis
Full-time
Remote friendly (Kalamazoo, MI)
United States
Operations
Want to see how your resume matches up to this job? A free trial of our JobsAI will help! With over 2,000 biopharma executives loving it, we think you will too! Try it now — JobsAI.
Role Summary
Upstream Process Development, Scientist / Senior Scientist at Zoetis. Shape bioprocess development by running bioreactors, modeling, and turning data into decisions in the junction of upstream bioprocess development and modern analytics. Own study design with DoE, translate CFD into practical scaling and control, and explore multivariate analytics and pragmatic models to drive process improvements.
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‚Äëup 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‚Äëseries 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‚Äëmaking
- Collaborate across upstream, downstream, formulation, and analytical teams
- Document work in electronic lab notebooks and author high‚Äëquality 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
Qualifications
- 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‚Äëbatch, 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‚Äëon 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‚Äëprinciples reasoning; can explain assumptions and design validation experiments
- Success bridging bench science, process engineering, and data science; strong communication and organization