1

Uncertainty Quantification Jobs (NOW HIRING)

Design rigorous validation and evaluation methodologies, including ground-truth strategies, uncertainty quantification, and error analysis tied to real-world impact * Prototype and refine ML modeling ...

$101 - $126/hr

Perform model calibration, verification, validation, sensitivity analysis, and uncertainty quantification to build scientific confidence in computational recommendations.* Translate computational ...

Conduct uncertainty quantification, sensitivity analyses, and model calibration to assess prediction robustness. * Collaborate with multidisciplinary teams to interpret results, communicate model ...

Direct a team of researchers and establish rigorous standards for risk modeling, uncertainty quantification, and decision-making. * Develop predictive models for equipment damage, vegetation failure ...

Research Scientist

Madison, WI · On-site

$110 - $160/hr

... uncertainty quantification. 3. Employ state‑of‑the‑art computational models to understand and explain experimental observations & trends. 4. Conduct literature reviews, prepare reports and ...

Showing results 41-60

Uncertainty Quantification information

See salary details

$30K

$69.5K

$121K

How much do uncertainty quantification jobs pay per year?

As of Aug 22, 2026, the average yearly pay for uncertainty quantification in the United States is $69,454.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,000.00 and $83,000.00 per year, depending on experience, location, and employer.

What is uncertainty quantification?

Uncertainty Quantification (UQ) is the science of quantifying, managing, and reducing uncertainties in computational models and real-world systems. It involves identifying sources of uncertainty in data, model parameters, and algorithms, then using statistical and mathematical methods to assess their impact on model predictions. UQ is essential in fields like engineering, finance, and environmental science to ensure that predictions and decisions are robust and reliable. Practitioners use techniques such as sensitivity analysis, probabilistic modeling, and Monte Carlo simulations to quantify and analyze uncertainties.

What are the key skills and qualifications needed to thrive as an uncertainty quantification specialist?

To thrive as an Uncertainty Quantification Specialist, you need a strong background in applied mathematics, statistics, and computational modeling, often supported by an advanced degree in a quantitative field. Familiarity with programming languages such as Python or MATLAB, and experience with simulation tools and statistical analysis software, are typically required. Strong problem-solving skills, attention to detail, and effective communication help professionals convey complex concepts to interdisciplinary teams. These skills are crucial for accurately assessing risks, making data-driven decisions, and improving the reliability of models in engineering, finance, or scientific research.

What are some common challenges faced by professionals in uncertainty quantification when working on multidisciplinary teams?

Professionals in Uncertainty Quantification (UQ) often collaborate with experts from fields like engineering, data science, and physics. A common challenge is communicating complex statistical concepts in an accessible way to team members without a quantitative background. Additionally, integrating uncertainty models into existing workflows and ensuring that all stakeholders understand how uncertainty impacts decision-making can be demanding. Effective UQ professionals are proactive in facilitating clear communication and tailoring their approach to fit the needs of diverse teams.

What is the difference between Uncertainty Quantification vs Data Scientist?

AspectUncertainty QuantificationData Scientist
Required credentialsAdvanced degrees in engineering, mathematics, or statisticsDegree in computer science, statistics, or related fields
Work environmentResearch labs, engineering firms, simulation-based industriesTech companies, finance, healthcare, and marketing
Industry usageEngineering, aerospace, manufacturing, scientific researchBusiness analytics, product development, predictive modeling

Uncertainty Quantification focuses on assessing and reducing uncertainty in models and simulations, often requiring advanced mathematical skills. Data Scientists analyze data to extract insights, build predictive models, and support decision-making. While both roles involve statistics and data analysis, Uncertainty Quantification is more specialized in modeling uncertainties in engineering and scientific contexts, whereas Data Scientists work across diverse industries with a broader focus on data-driven insights.

More about Uncertainty Quantification jobs

What cities are hiring for Uncertainty Quantification jobs?

Cities with the most Uncertainty Quantification job openings:

What states have the most Uncertainty Quantification jobs?

States with the most job openings for Uncertainty Quantification jobs include:

Infographic showing various Uncertainty Quantification job openings in the United States as of August 2026, with employment types broken down into 73% Full Time, 25% Part Time, and 2% Contract. Highlights an 78% Physical, 3% Hybrid, and 19% Remote job distribution, with an average salary of $69,454 per year, or $33.4 per hour.

Senior Engineer, Plant Thermal Hydraulics Validation

Protingent

Bellevue, WA • On-site

$56 - $95/hr

Contractor

Medical, Retirement, PTO

Re-posted 9 days ago


Job description


Position Title: Senior Engineer, Plant Thermal Hydraulics Validation
Position Description: Protingent Staffing has an exciting contract Senior Engineer, Plant Thermal Hydraulics Validation opportunity.
Job Responsibilities:
  • Support verification, validation, and uncertainty quantification activities for plant scale thermal-hydraulic analysis tools.
  • Perform system-level steady-state and transient thermal-hydraulic simulations to evaluate model behavior, accuracy, and limitations.
  • Interpret and apply experimental data from separate effects and integral test facilities to support model validation and closure of technical gaps.
  • Define validation needs, develop test requirements, and collaborate closely with test engineering teams to ensure alignment between model gaps and experimental programs.
  • Document V&V methodologies, model assumptions, validation results, and uncertainty analyses for internal design processes and regulatory submittals.
  • Collaborate with multidisciplinary teams to support plant design, safety analysis, and licensing workflows.
  • Apply and improve company's SQA and NQA1 modeling quality practices and ensure traceability and configuration control of analysis inputs, models, and results.

Job Qualifications:
  • Degree in Mechanical, Nuclear, Chemical Engineering, or similar field, with a minimum 6+ years of experience for level 10; advanced-degree equivalencies apply.
  • Experience should include system-level thermal hydraulic analysis and code assessment for nuclear or complex energy systems.
  • Demonstrated experience in code assessment, including model-to-test comparison, validation metric development, and uncertainty quantification.
  • Hands on experience working with experimental thermal hydraulic data, including data analysis, uncertainty evaluation, and comparison against system level predictions.
  • Experience with system analysis tools (e.g., RELAP5 3D, TRACE, SAS, or equivalent) applied to plant scale transient and steady-state evaluations.
  • Strong foundation in thermal-fluid and reactor system behavior considerations relevant to advanced reactor designs.
  • Experience with SQA and NQA 1 quality assurance practices for modeling workflows is highly preferred.
  • Strong analytical thinking, clear technical communication, and the ability to manage multiple validation tasks in parallel.

Job Details:
  • Job Type: Contract
  • Pay Rate Range: $56-$95/hr (Pay rates are approved based on candidate location, education and experience)
  • Location: Bellevue, WA or 100% Remote
  • Export control regulations require candidates to be a U.S. Citizen, U.S. Legal Permanent Resident, or of a protected person status.

Benefits Package: Protingent offers competitive salaries, insurance plan options (HDHP plan or POS plan), education/certification reimbursement, pre-tax commuter benefits, Paid Time Off (PTO), and an administered 401k plan.
#TerraPro
About Protingent: Protingent is an Award-Winning provider of top-tier Engineering and IT talent, trusted by companies at the forefront of innovation - from Software and Aerospace to AI, Clean Tech, Medical Devices, and Connected Technologies. We're passionate about making a positive impact by connecting exceptional talent with meaningful opportunities and helping our clients build the future.
Meet Your Recruiter
Abby Hubbard
I joined Protingent in the Spring of 2021 as a sales intern, transitioning to a full-time Technical Recruiter after graduating from the University of Washington in June 2021. Initially, I focused on supporting our spaceflight clients, later expanding to industries such as sustainable energy and nuclear power. While I've broadened my recruiting scope, I'm still partial to aerospace engineering, especially anything related to propulsion technology.
My recruiting style focuses on individual candidate needs and relationship building. My philosophy is to lead with empathy and integrity. My favorite thing about recruiting is the opportunity to learn something new every day by talking to the most intelligent people/engineers, as well as the potential to impact critical industries at the staffing level.
When I'm not recruiting, I love spending time outdoors - hiking, camping, roller skating, reading in parks, and swimming in Lake Union (when the Seattle weather permits). I also enjoy thrift shops, sewing/up-cycling clothes, and shooting 35mm film.