Thermo Fisher Scientific logo

Scientist III, Data Scientist, Bioprocess Digital Twin

Thermo Fisher Scientific

Grand Island, NYOnsitePosted 5 days ago$89,000.00 - $149,800.00/year
Full TimeMid LevelBioinformatics & Data ScienceLife Science Service & Supply
Original posting ↗

Summary

Join our team at Thermo Fisher Scientific as a Data Scientist III and contribute to global healthcare and scientific innovation. You'll apply advanced analytics, machine learning, and AI techniques to solve complex business challenges across our enterprise. In our collaborative environment, you'll develop and deploy sophisticated data science solutions that drive operational efficiencies and enhance decision-making capabilities.

Job description

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.

Education

  • Master's or Ph.D's Degree in Biochemical Engineering, Chemical Engineering, Biotechnology, Computational Biology, Systems Biology, Bioinformatics, Cell Biology, or a related field.

Qualifications & Experience

  • 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.

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.

Requirements

  • 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

Benefits

  • Medical, Dental & Vision
  • Health Incentive Programs
  • Employee Assistance Program
  • Family Support Programs
  • Commuter Benefits
  • Tuition Reimbursement
  • Paid Time Off
  • Paid Holidays
  • Paid Parental Leave
  • Accident Insurance
  • Life Insurance
  • Short-Term Disability
  • Long-Term Disability
  • 401(k) Retirement Plan
  • Employee Stock Purchase Plan

Company overview

Thermo Fisher Scientific Inc. is the world leader in serving science, with annual revenue of approximately $40 billion. The company's mission is to enable customers to make the world healthier, cleaner, and safer. With over 100,000 employees globally, Thermo Fisher provides an unrivaled combination of innovative technologies, purchasing convenience, and pharmaceutical services through its industry-leading brands including Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon, and PPD. The company serves customers across healthcare, life sciences, applied markets, and pharmaceutical sectors, offering solutions that accelerate research, solve complex analytical challenges, improve patient diagnostics, and increase laboratory productivity. Headquartered in Waltham, Massachusetts, Thermo Fisher operates globally, delivering critical scientific products, services, and workflow solutions that support researchers, organizations, and companies in addressing some of the world's most pressing issues.

Explore more jobs of your matchFind more biopharma roles with GetBioJob.