Scientist III, Data Scientist, Bioprocess Digital Twin

Thermo Fisher Scientific

Grand Island, New York, United StatesFull-time$89,000–$149,800Posted Oct 12, 2026

About the role

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer.

DESCRIPTION:

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. This role offers the opportunity to work with advanced technologies while contributing to our mission of enabling customers to make the world healthier, cleaner, and safer.

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.

Join Us

At Thermo Fisher Scientific, each one of our extraordinary minds has a unique story to tell. Join us and contribute to our singular mission--enabling our customers to make the world healthier, cleaner, and safer.

Compensation and Benefits

The salary range estimated for this position based in New York is $89,000.00–$149,800.00.

This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes:

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 our 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

For more information on our benefits, please visit: https://jobs.thermofisher.com/global/en/total-rewards

Responsibilities

  • Develop predictive modeling and simulation workflows for CHO cell culture and upstream bioprocess digital twins.
  • Build, test, and evaluate models of nutrient consumption, metabolite accumulation, cell growth, viability, and productivity.
  • Analyze time-series bioreactor data, assay results, spent media data, and process metadata.
  • Use Python and scientific computing tools to process data, run simulations, visualize results, and evaluate models.
  • Collaborate with scientists, engineers, and software developers to document results and support experimental planning.

Qualifications

  • Master's or Ph.D. in a relevant engineering, biotechnology, biology, or computational science field.
  • Relevant academic or industry experience in upstream bioprocessing, cell culture, process modeling, computational biology, or data science.
  • Understanding of CHO cell culture and upstream bioprocessing concepts.
  • Hands-on Python experience in scientific computing, data analysis, visualization, simulation, or model implementation.
  • Experience with biological or bioprocess datasets, especially time-series data.
  • Familiarity with mechanistic, statistical, machine learning, or hybrid modeling approaches.
  • Strong analytical and problem-solving skills and ability to work in cross-functional teams.

Benefits

  • Medical, dental, and vision plans
  • Employee assistance and family support programs
  • Commuter benefits and tuition reimbursement
  • Paid time off, paid holidays, and parental leave
  • Accident and life insurance and short- and long-term disability
  • 401(k) retirement savings plan
  • Employee Stock Purchase Plan
  • Potential annual variable bonus

Skills mentioned

PythonData AnalysisMachine LearningData ScienceStatistical AnalysisTime-Series ForecastingPredictive ModelingModel EvaluationData VisualizationFeature Engineering

About Thermo Fisher Scientific

About Thermo Fisher Scientific Thermo Fisher Scientific Inc. is the world leader in serving science, with annual revenue of approximately $40 billion. Our Mission is to enable our customers to make the world healthier, cleaner and safer. Whether our customers are accelerating life sciences research, solving complex analytical challenges, increasing productivity in their laboratories, improving patient health through diagnostics or the development and manufacture of life-changing therapies, we are here to support them. Our global team delivers an unrivaled combination of innovative technologies, purchasing convenience and pharmaceutical services through our industry-leading brands, including Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon and PPD. For more information, please visit www.thermofisher.com.

Biotechnology Research10,001+ employeesWaltham, MA

H-1B sponsorship history

Historical employer filing data was found for Thermo Fisher Scientific. The employer record includes 1,622 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.