Scientist III, Data Scientist, Bioprocess Digital Twin

Thermo Fisher Scientific is hiring a Data Scientist III to develop predictive modeling and simulation workflows for CHO cell culture and upstream bioprocess digital twin applications. The role analyzes bioprocess data and collaborates with scientists, engineers, and software developers to evaluate models and support experimental planning.

Responsibilities

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

Preferred

• Familiarity with PAT systems, bioreactor data infrastructure, LIMS/ELN/MES environments, cloud-based data workflows, or software-enabled scientific tools is a plus
• Exposure to digital twin modeling, virtual experimentation, metabolic modeling, or process simulation is a plus
• PAT Systems
• Bioreactor Data Infrastructure
• LIMS
• ELN
• MES
• Cloud-Based Data Workflows
• Scientific Software Tools
• Digital Twin Modeling
• Virtual Experimentation
• Metabolic Modeling
• Process Simulation

Benefits

• May be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy.
• A choice of national medical and dental plans, and a national vision plan, including health incentive programs.
• Employee assistance and family support programs, including commuter benefits and tuition reimbursement.
• At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy.
• Retirement and savings programs, such as the competitive 401(k) U.S. retirement savings plan.
• Employees’ Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount.

Company

• Scientific technologies and biotech/pharmaceutical services
• Waltham, Massachusetts, USA
• https://www.thermofisher.com/
• Founded in 1956
• 10001+ employees

Qualifications

• Master's or Ph.D's Degree in Biochemical Engineering, Chemical Engineering, Biotechnology, Computational Biology, Systems Biology, Bioinformatics, Cell Biology, or a related field
• Relevant academic or industry experience in upstream bioprocessing, cell culture, process modeling, computational biology, data science, or related scientific domains
• Good understanding of CHO cell culture and upstream bioprocessing concepts, including media, feeding strategies, bioreactor operation, metabolites, cell growth, viability, productivity, and process parameters
• Hands-on Python experience for scientific computing, data analysis, visualization, simulation, or model implementation
• Experience working with bioprocess or biological datasets, especially time-series data, assay results, spent media data, or process metadata
• Familiarity with mechanistic, statistical, machine learning, or hybrid modeling approaches for biological or process systems
• Strong analytical and problem-solving skills, with attention to data quality and scientific detail
• Ability to work effectively in cross-functional teams and contribute to project activities under guidance from senior scientists or project leads
• Familiarity with PAT systems, bioreactor data infrastructure, LIMS/ELN/MES environments, cloud-based data workflows, or software-enabled scientific tools is a plus
• Exposure to digital twin modeling, virtual experimentation, metabolic modeling, or process simulation is a plus

Required skills

• Bioprocess Modeling, CHO Cell Culture, Computational Biology, Digital Twin Modeling, Machine Learning, Metabolic Modeling, Process Simulation, Python, Statistical Modeling, Upstream Bioprocessing

Experience

• Mid level