Scientist III, Data Scientist, Bioprocess Digital Twin

Thermo Fisher Scientific seeks a Data Scientist III to develop predictive models and simulations for CHO cell culture and upstream bioprocess applications. The role involves building and evaluating mechanistic and machine learning models using bioprocess datasets, Python, and scientific computing tools in a collaborative R&D environment.

Responsibilities

• Support development of predictive modeling and simulation workflows for CHO cell culture digital twin applications
• Build, test, and evaluate models for upstream process behaviors including nutrient consumption, cell growth, and productivity
• Analyze bioprocess datasets including time-series bioreactor data, offline assays, and spent media data
• Use Python and scientific computing tools to process data, run simulations, and visualize results
• Collaborate with scientists and engineers to document modeling assumptions and support experimental planning

Requirements

• Master's or Ph.D. in biochemical engineering, chemical engineering, biotechnology, computational biology, or related field
• Hands-on Python experience for scientific computing, data analysis, visualization, and simulation
• Understanding of CHO cell culture, upstream bioprocessing concepts, bioreactor operation, and process parameters
• Experience analyzing bioprocess datasets including time-series bioreactor data and assay results
• Familiarity with mechanistic, statistical, machine learning, or hybrid modeling approaches for biological systems
• Strong analytical skills with attention to data quality and scientific detail
• Ability to work in cross-functional teams and contribute under senior guidance

Compensation: $89,000–$149,800 base