Scientist III, Data Scientist, Bioprocess Digital Twin

Thermo Fisher

Quick summary

Work type: On-site
Location: Grand Island, NY
Salary: $87,200–$116,200 / yr
Posted: 4 days ago
Nearby: 4 roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $163k

This role $102k

$71k most similar roles pay here $236k

This role pays less than 98% of similar roles. Most pay $126,800–$199,387 — the shaded band above. At the midpoint, this role pays about $102k versus about $163k for comparable roles.

Based on 240 similar postings.

Employer

About Thermo Fisher

Thermo Fisher Scientific is the world leader in serving science, providing analytical instruments, equipment, reagents, consumables, software, and services for life sciences research, pharmaceutical manufacturing, and diagnostics. Industry: Life Sciences & Laboratory Equipment

Thermo Fisher currently has 12 open roles on FindRole.

Listed pay typically runs $130,000–$170,000 across 9 roles with salary data.

Most-posted roles

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At a glance

TL;DR · Scientist III, Data Scientist, Bioprocess Digital Twin

Role Posting Log in to save

As a Data Scientist III at Thermo Fisher Scientific, you will join a collaborative team dedicated to advancing global healthcare and scientific innovation through data-driven solutions. Your primary responsibilities include leading the development of digital twin models for CHO cell culture and upstream bioprocess workflows, integrating mechanistic approaches with AI and machine learning techniques to build predictive simulation capabilities. You will define data requirements, validation strategies, and governance practices while enabling virtual experimentation to optimize process conditions. This role requires a Master's degree in a relevant field, preferably a PhD, along with extensive experience in bioprocess development and computational biology. Advanced Python skills are essential for scientific computing and data analysis, alongside expertise in developing hybrid modeling workflows. You will work with complex datasets and support real-time forecasting use cases to enhance operational efficiencies across the enterprise.

Skills

Python Machine Learning Bayesian Optimization MFA/FBA Kinetic Modeling Stoichiometric Modeling Mechanistic Modeling AI Docker Kubernetes Terraform PostgreSQL CI/CD Prometheus Grafana AWS Azure Google Cloud

What you'll do

Lead development of digital twin models for CHO cell culture and upstream bioprocess workflows.
Build predictive simulation capabilities for nutrient depletion, metabolite accumulation, and process drift.
Develop hybrid modeling workflows combining mechanistic approaches with AI and machine learning techniques.
Enable virtual experimentation to prioritize promising experimental paths in bioprocessing.
Define data requirements and validation strategies for predictive and simulation-based workflows.
Support real-time forecasting use cases by detecting deviations early and recommending corrective actions.

What we're looking for

Master's Degree in a relevant scientific field required; PhD preferred.
Strong experience in bioprocess development and computational biology.
Deep understanding of upstream bioprocessing techniques and scale-up considerations.
Advanced Python skills for data analysis, simulation, and workflow automation.
Experience developing hybrid modeling workflows combining mechanistic and AI approaches.
Ability to lead cross-functional projects and translate scientific challenges into digital solutions.

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