Scientist III, Data Scientist, Bioprocess Digital Twin

Thermo Fisher Scientific • Grand Island, NY

9d • $89,000 - $149,800 • Onsite

About The Position

As part of Thermo Fisher Scientific, the Data Scientist III contributes to healthcare and scientific innovation by applying advanced analytics, machine learning, and AI to complex business challenges. The role develops and deploys data science solutions that support operational efficiency and decision-making. Specifically, it supports predictive modeling and simulation workflows for CHO cell culture and upstream bioprocess digital twin applications, using bioprocess data and scientific computing tools. The position collaborates with scientists, engineers, and software developers and contributes to modeling results, documentation, and experimental planning.

Requirements

• Master's or Ph.D. 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.

Nice To Haves

• Familiarity with PAT systems, bioreactor data infrastructure, LIMS/ELN/MES environments, cloud-based data workflows, or software-enabled scientific tools.
• Exposure to digital twin modeling, virtual experimentation, metabolic modeling, or process simulation.

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 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.

Benefits

• 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 of paid time off (PTO) and 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.
• Competitive 401(k) U.S. retirement savings plan.
• Employees’ Stock Purchase Plan, offering eligible colleagues the opportunity to purchase company stock at a discount.
• May be eligible for a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level