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Virtual Digital Twin Jobs (NOW HIRING)

Denso

Simulation Engineer 3 - AR/VR

Southfield, MI · On-site

$107K - $133K/yr

... digital twin, and immersive technology solutions that support virtual validation, design maturation, manufacturing readiness, and operational excellence. This position collaborates with engineering ...

Denso

Simulation Engineer 3 - AR/VR

Southfield, MI · On-site

$107K - $133K/yr

... digital twin, and immersive technology solutions that support virtual validation, design maturation, manufacturing readiness, and operational excellence. This position collaborates with engineering ...

Twin Health

Bilingual Physician Assistant

$102K - $138K/yr

Twin Health is the only company applying AI Digital Twin technology exclusively toward metabolic ... The ability to consult with patients through virtual communication channels * Excellent analytical ...

Twin Health

Bilingual Nurse Practitioner

$113K - $143K/yr

Twin Health is the only company applying AI Digital Twin technology exclusively toward metabolic ... The ability to consult with patients through virtual communication channels * Excellent analytical ...

EDAG Mexico

Senior Virtual Commissioning Engineer

Troy, MI · On-site +1

$98K - $135K/yr

Several years of relevant experience in virtual commissioning,digital twin development, or industrial simulation. * Hands-on experience with machine or plant software and commissioning activities ...

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Virtual Digital Twin information

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$33K

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$130K

How much do virtual digital twin jobs pay per year?

As of Sep 5, 2026, the average yearly pay for virtual digital twin in the United States is $76,639.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,500.00 and $130,000.00 per year, depending on experience, location, and employer.

What is a virtual digital twin?

A Virtual Digital Twin is a digital representation or model of a physical object, process, or system that mirrors its real-world counterpart in real time. It uses data from sensors and other sources to simulate, analyze, and predict the behavior and performance of the real object. Digital twins are commonly used in industries like manufacturing, healthcare, and smart cities to improve efficiency, optimize operations, and enable predictive maintenance. By providing a virtual environment for testing and optimization, digital twins help organizations make better decisions and reduce costs.

What are the key skills and qualifications needed to thrive as a virtual digital twin specialist?

To thrive as a Virtual Digital Twin Specialist, you need a strong background in engineering, data analytics, and computer modeling, often supported by a degree in a STEM field. Expertise in simulation software (such as Siemens NX, ANSYS, or Dassault Systèmes), familiarity with IoT platforms, and knowledge of cloud computing are typically required. Strong problem-solving, communication, and project management skills help professionals collaborate across teams and interpret complex data. These skills are crucial to accurately modeling real-world systems, optimizing processes, and driving innovation in digital transformation initiatives.

What are the typical challenges faced by professionals working with virtual digital twins, and how can they be overcome?

Professionals working with virtual digital twins often encounter challenges such as integrating real-time data from multiple sources, ensuring data accuracy, and maintaining synchronization between the physical and digital models. Overcoming these challenges typically involves close collaboration with IT, engineering, and data analytics teams, as well as staying current with the latest software and integration tools. Proactive communication and continuous learning are critical for addressing evolving technology and process requirements in this rapidly changing field.

What is the difference between Virtual Digital Twin vs Data Analyst?

AspectVirtual Digital TwinData Analyst
Required CredentialsEngineering, IT, or specialized certifications in digital twin technologyStatistics, data analysis, or related degrees; often certifications in data tools
Work EnvironmentIndustrial, manufacturing, or infrastructure settings with IoT integrationOffice or remote, analyzing data sets and creating reports
Industry UsageManufacturing, energy, smart cities, and infrastructureBusiness, finance, healthcare, marketing

The Virtual Digital Twin and Data Analyst roles share a focus on data but differ in application. Virtual Digital Twins are technical roles involving IoT and engineering to create virtual replicas of physical assets, while Data Analysts interpret data to inform business decisions. Both require analytical skills, but their environments and tools differ significantly.

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What cities are hiring for Virtual Digital Twin jobs?

Cities with the most Virtual Digital Twin job openings:

What are the most commonly searched types of Digital Twin jobs?

The most popular types of Digital Twin jobs are:

What states have the most Virtual Digital Twin jobs?

States with the most job openings for Virtual Digital Twin jobs include:

What job categories do people searching Virtual Digital Twin jobs look for?

The top searched job categories for Virtual Digital Twin jobs are:

Virtual Digital Twin jobs near you
Infographic showing various Virtual Digital Twin job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $76,639 per year, or $36.8 per hour.

Scientist III, Data Scientist, Bioprocess Digital Twin

Thermo Fisher Scientific

Grand Island, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago

Thermo Fisher Scientific rating

7.8

Company rating: 7.8 out of 10

Based on 429 frontline employees who took The Breakroom Quiz

170th of 545 rated manufacturers

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. The Scientist III will help define and deliver a practical bioprocess digital twin roadmap, including data strategy, model development, validation, deployment, and cross-functional adoption. 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
  • Lead development of digital twin models for CHO cell culture and upstream bioprocess workflows, including fed-batch and perfusion applications.
  • Build predictive simulation capabilities for nutrient depletion, metabolite accumulation, cell growth, productivity, process drift, CQAs, and scale-up behavior.
  • Develop hybrid modeling workflows that combine mechanistic approaches such as stoichiometric modeling, kinetic modeling, MFA/FBA, and mass balance methods with AI, machine learning, and Bayesian optimization.
  • Enable virtual experimentation by simulating candidate feed strategies, pH strategies, temperature shifts, and other process conditions to prioritize the most promising experimental paths.
  • Define data requirements, validation strategies, model governance practices, and success criteria for predictive and simulation-based workflows.
  • Support real-time or near-real-time forecasting use cases by incorporating bioreactor and process data to detect deviations early and recommend corrective actions.

Education
  • Master's Degree in Biochemical Engineering, Chemical Engineering, Biotechnology, Computational Biology, Systems Biology, Bioinformatics, Cell Biology, or a related field.
  • PhD in a relevant discipline is preferred.

Qualifications & Experience
  • Strong industry or advanced academic experience in bioprocess development, cell culture, process modeling, digital biomanufacturing, computational biology, or related scientific domains.
  • Deep understanding of upstream bioprocessing, including CHO cell culture, metabolism, feeding strategies, bioreactor operations, CPP/CQA relationships, and scale-up considerations.
  • Advanced Python experience for scientific computing, simulation, data analysis, workflow automation, and visualization.
  • Experience developing mechanistic, statistical, machine learning, optimization, forecasting, or hybrid modeling workflows for biological or process systems.
  • Experience working with complex bioprocess datasets, including time-series process data, offline assays, spent media or omics data, process metadata, and experimental design data.
  • Demonstrated ability to lead cross-functional technical projects and translate scientific challenges into deployable digital solutions.

Preferred
  • Experience with PAT systems, bioreactor data platforms, LIMS/ELN/MES/historian systems, cloud data environments, or model deployment and governance practices 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 $87,200.00-$116,200.00.
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

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