Postdoctoral Associate
Cambridge, MA · On-site +1
Sherrie Wang to develop deep learning methods for hyper-local weather forecasting with uncertainty quantification. The position is supported by a NASA-funded project focused on probabilistic ...
Postdoctoral Associate
Cambridge, MA · On-site +1
Sherrie Wang to develop deep learning methods for hyper-local weather forecasting with uncertainty quantification. The position is supported by a NASA-funded project focused on probabilistic ...
The person will partner closely with antibody modeling scientists on architecture, feature design, and uncertainty quantification - not just downstream of them. Key Responsibilities Antibody ...
The person will partner closely with antibody modeling scientists on architecture, feature design, and uncertainty quantification - not just downstream of them. Key Responsibilities Antibody ...
The person will partner closely with antibody modeling scientists on architecture, feature design, and uncertainty quantification - not just downstream of them. Key Responsibilities Antibody ...
The person will partner closely with antibody modeling scientists on architecture, feature design, and uncertainty quantification - not just downstream of them. Key Responsibilities Antibody ...
Set quality standards on every engagement: rigorous evidence evaluation, transparent uncertainty quantification, reproducible methodology * Communicate translational results in Flagship-internal ...
Set quality standards on every engagement: rigorous evidence evaluation, transparent uncertainty quantification, reproducible methodology * Communicate translational results in Flagship-internal ...
Set quality standards on every engagement: rigorous evidence evaluation, transparent uncertainty quantification, reproducible methodology * Communicate translational results in Flagship-internal ...
Set quality standards on every engagement: rigorous evidence evaluation, transparent uncertainty quantification, reproducible methodology * Communicate translational results in Flagship-internal ...
Pioneering Intelligence | Cambridge, MA Principal Scientist, Translational Modeling & Decision [...]
Cambridge, MA · On-site
$180 - $280/hr
Set quality standards on every engagement: rigorous evidence evaluation, transparent uncertainty quantification, reproducible methodology * Communicate translational results in Flagship‑internal ...
Pioneering Intelligence | Cambridge, MA Principal Scientist, Translational Modeling & Decision [...]
Cambridge, MA · On-site
$180 - $280/hr
Set quality standards on every engagement: rigorous evidence evaluation, transparent uncertainty quantification, reproducible methodology * Communicate translational results in Flagship‑internal ...
Principal Scientist - Translational Modeling & Decision Science
Cambridge, MA · On-site
$179 - $236/hr
Set quality standards on every engagement: rigorous evidence evaluation, transparent uncertainty quantification, reproducible methodology * Communicate translational results in Flagship-internal ...
Principal Scientist - Translational Modeling & Decision Science
Cambridge, MA · On-site
$179 - $236/hr
Set quality standards on every engagement: rigorous evidence evaluation, transparent uncertainty quantification, reproducible methodology * Communicate translational results in Flagship-internal ...
Uncertainty quantification and model calibration for decision-making * Familiarity with interdisciplinary work at the interface of climate, environment, and health. Special Instructions Please submit ...
Uncertainty quantification and model calibration for decision-making * Familiarity with interdisciplinary work at the interface of climate, environment, and health. Special Instructions Please submit ...
Data Analyst
Natick, MA · On-site
Familiarity with statistical analysis and data visualization techniques including uncertainty quantification methods. * Experience working with production, manufacturing, or test data. * Knowledge of ...
Quick apply
Data Analyst
Natick, MA · On-site
Familiarity with statistical analysis and data visualization techniques including uncertainty quantification methods. * Experience working with production, manufacturing, or test data. * Knowledge of ...
Data Analyst
Natick, MA · On-site
... uncertainty quantification methods. • Experience working with production, manufacturing, or test data. • Knowledge of electric propulsion, aerospace systems, or other advanced engineering ...
Data Analyst
Natick, MA · On-site
... uncertainty quantification methods. • Experience working with production, manufacturing, or test data. • Knowledge of electric propulsion, aerospace systems, or other advanced engineering ...
$129K - $203K/yr
Experience with probabilistic/Bayesian modeling, uncertainty quantification, or causal inference. Prior experience designing agentic systems, human-in-the-loop workflows, or using reinforcement ...
$129K - $203K/yr
Experience with probabilistic/Bayesian modeling, uncertainty quantification, or causal inference. Prior experience designing agentic systems, human-in-the-loop workflows, or using reinforcement ...
Help establish best practices for benchmarking, validation, and uncertainty quantification as the platform scales. Qualifications Required * Master's degree plus 3+ years of relevant industry ...
Help establish best practices for benchmarking, validation, and uncertainty quantification as the platform scales. Qualifications Required * Master's degree plus 3+ years of relevant industry ...
Help establish best practices for benchmarking, validation, and uncertainty quantification as the platform scales. Qualifications Required * Master's degree plus 3+ years of relevant industry ...
Help establish best practices for benchmarking, validation, and uncertainty quantification as the platform scales. Qualifications Required * Master's degree plus 3+ years of relevant industry ...
... uncertainty quantification) Oncology Translational Medicine within the Oncology Research Unit is a science driven group delivering clinical pharmacology modelling & simulation excellence to research ...
... uncertainty quantification) Oncology Translational Medicine within the Oncology Research Unit is a science driven group delivering clinical pharmacology modelling & simulation excellence to research ...
Strong understanding of model validation, uncertainty quantification, regulatory expectations, and scientific applicability. Scientific & Stakeholder Credibility Able to work effectively with ...
Strong understanding of model validation, uncertainty quantification, regulatory expectations, and scientific applicability. Scientific & Stakeholder Credibility Able to work effectively with ...
... uncertainty quantification) Oncology Translational Medicine within the Oncology Research Unit is a science driven group delivering clinical pharmacology modelling & simulation excellence to research ...
... uncertainty quantification) Oncology Translational Medicine within the Oncology Research Unit is a science driven group delivering clinical pharmacology modelling & simulation excellence to research ...
Strong understanding of model validation, uncertainty quantification, regulatory expectations, and scientific applicability. Scientific & Stakeholder Credibility Able to work effectively with ...
Strong understanding of model validation, uncertainty quantification, regulatory expectations, and scientific applicability. Scientific & Stakeholder Credibility Able to work effectively with ...
$148K - $186K/yr
Build models with appropriate calibration, uncertainty quantification, and clinically meaningful evaluation metrics. * Collaborate with ML and software engineering colleagues to deploy and ...
$148K - $186K/yr
Build models with appropriate calibration, uncertainty quantification, and clinically meaningful evaluation metrics. * Collaborate with ML and software engineering colleagues to deploy and ...
Post-Doctoral Scientist - Delivery, Devices & Connected Solutions (DDCS) Inhaled Drug Formulation...
$53K - $72K/yr
Apply uncertainty quantification and sensitivity analysis to computational models to characterize inter-subject and inter-effort variability in predicted deposition outcomes. * Collaborate with ...
Post-Doctoral Scientist - Delivery, Devices & Connected Solutions (DDCS) Inhaled Drug Formulation...
$53K - $72K/yr
Apply uncertainty quantification and sensitivity analysis to computational models to characterize inter-subject and inter-effort variability in predicted deposition outcomes. * Collaborate with ...
Post-Doctoral Scientist - Delivery, Devices & Connected Solutions (DDCS) Inhaled Drug Formulation &
Boston, MA · On-site
$53K - $72K/yr
Apply uncertainty quantification and sensitivity analysis to computational models to characterize inter-subject and inter-effort variability in predicted deposition outcomes. * Collaborate with ...
Post-Doctoral Scientist - Delivery, Devices & Connected Solutions (DDCS) Inhaled Drug Formulation &
Boston, MA · On-site
$53K - $72K/yr
Apply uncertainty quantification and sensitivity analysis to computational models to characterize inter-subject and inter-effort variability in predicted deposition outcomes. * Collaborate with ...
Uncertainty Quantification information
See Massachusetts salary details
$32.8K - $41.8K
11% of jobs
$49.9K is the 25th percentile. Wages below this are outliers.
$41.8K - $50.8K
16% of jobs
$50.8K - $59.9K
11% of jobs
The median wage is $66.6K / yr.
$59.9K - $68.9K
17% of jobs
$68.9K - $77.9K
9% of jobs
$86.6K is the 75th percentile. Wages above this are outliers.
$77.9K - $87K
13% of jobs
$87K - $96K
10% of jobs
$96K - $105K
3% of jobs
$105K - $114.1K
3% of jobs
$114.1K - $123.1K
5% of jobs
$123.1K - $132.1K
3% of jobs
$32.8K
$75.9K
$132.1K
How much do uncertainty quantification jobs pay per year?
As of Aug 12, 2026, the average yearly pay for uncertainty quantification in Massachusetts is $75,852.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,100.00 and $90,600.00 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 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?
| Aspect | Uncertainty Quantification | Data Scientist |
|---|---|---|
| Required credentials | Advanced degrees in engineering, mathematics, or statistics | Degree in computer science, statistics, or related fields |
| Work environment | Research labs, engineering firms, simulation-based industries | Tech companies, finance, healthcare, and marketing |
| Industry usage | Engineering, aerospace, manufacturing, scientific research | Business 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.
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 popular job titles related to Uncertainty Quantification jobs in Massachusetts? For Uncertainty Quantification jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Uncertainty Quantification jobs in Massachusetts look for? The top searched job categories for Uncertainty Quantification jobs in Massachusetts are:
Full-time
Re-posted 29 days ago
Job description
POSTDOCTORAL ASSOCIATE, Mechanical Engineering, will work under the direction of Prof. Sherrie Wang to develop deep learning methods for hyper-local weather forecasting with uncertainty quantification. The position is supported by a NASA-funded project focused on probabilistic downscaling of global weather models using satellite remote sensing, generative AI models, and conformal prediction. The research integrates numerical weather prediction (NWP) outputs, weather station observations, and satellite data to generate accurate, uncertainty-aware local forecasts for applications in disaster response and energy systems. Will develop and implement machine learning models for local weather forecasting and uncertainty quantification, including probabilistic and generative approaches; integrate and analyze heterogeneous datasets, including numerical weather prediction outputs, weather station observations, and satellite remote sensing data; design and run experiments to evaluate model performance and generalization across locations and conditions; contribute to the preparation of manuscripts, technical reports, and presentations for scientific and sponsor-facing dissemination; collaborate with project team members and external partners to align research with application needs in energy and disaster response; mentor graduate and undergraduate students and contribute to a collaborative research environment; and participate in project meetings and related research activities as needed.
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Industry
Human resource programs administration
Company size
1 - 10 Employees
Headquarters location
Cambridge, MA, US
Year founded
2014