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Scientist III, Data Scientist, Bioprocess Digital Twin

ThermoFisher Scientific

Grand Island, NYJob$89–150K/yrSeen 3w agoSeen in employer's feed 4 days ago

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At a glance

Compensation
$89–150K/yr
Location
Grand Island, NY
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

Master's degree

Job overview

The Data Scientist III will support bioprocess digital twin applications by developing predictive modeling and simulation workflows for CHO cell culture and upstream processes. The role analyzes bioprocess datasets and uses Python and scientific computing tools to evaluate models and visualize results. The scientist collaborates with scientists, engineers, and software developers to communicate modeling results, document assumptions, and support experimental planning.

Skills & qualifications

RequiredNice to have

Skills

Upstream BioprocessingCHO Cell CultureProcess ModelingComputational BiologyData SciencePythonScientific ComputingData AnalysisData VisualizationSimulationModel ImplementationBioprocess Data AnalysisTime-Series DataAssay ResultsSpent Media DataProcess MetadataMechanistic ModelingStatistical ModelingMachine LearningHybrid ModelingAnalytical SkillsProblem-SolvingAttention to DetailData QualityCross-Functional CollaborationPAT SystemsBioreactor Data InfrastructureLIMSELNMESCloud-Based Data WorkflowsScientific Software ToolsDigital Twin ModelingVirtual ExperimentationMetabolic ModelingProcess Simulation

Qualifications

Master's or Ph.D. In Related Field

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
Tuition Assistance
Paid Time Off
Parental Leave
401(k) Match

Full job description

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

Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.

How this job compares

Set against the 4,830 open Data Scientist jobs on Olive Jobs, counted November 3, 2026.

Pay
  • This posting$89–150K/yr
  • New York median$150–210K/yr363 salary ranges
  • US median$135–213K/yr3,705 salary ranges

This range's midpoint, $119K, is 35% below the New York median midpoint ($185K) — in the lowest quarter of Data Scientist salary ranges in New York.

Openings
Olive Jobs lists 468 open Data Scientist jobs in New York and 4,830 across the US. 6% of them nationwide are listed as remote or flexible.
Hiring the most in New York
Experience
Data Scientist postings that state a minimum ask for 5 years of experience at the median; the middle half ask for 3 to 6 years (4,140 postings).
Education
This posting asks for a master's degree; 617 of the 4,830 open Data Scientist jobs (13%) ask for a master's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 3, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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