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Postdoctoral In Bayesian Statistics Jobs in Seattle, WA

Innovate!, Inc.

Fisheries Modeling Scientist

Seattle, WA · On-site

$100 - $125/hr

Experience with Bayesian statistical methods and mark-recapture analysis is preferred. * Experience with Stan and JAGS is preferred. * Ability to interpret or interface with C or C++ code in a ...

Amazon

Applied Scientist II - AMZ9971140

Seattle, WA · On-site

$153K - $193K/yr

Develop and/or apply statistical modeling techniques (e.g. Bayesian models and deep neural networks), optimization methods, and other ML techniques to different applications in business and ...

micro1 AI

AI Training Specialist - Physics

Everett, WA · On-site +1

$80 - $150/hr

... Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the ... Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology, Quantum ...

micro1 AI

AI Training Specialist - Physics

Kent, WA · On-site +1

$80 - $150/hr

... Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the ... Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology, Quantum ...

micro1 AI

AI Training Specialist - Physics

Tacoma, WA · On-site +1

$80 - $150/hr

... Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the ... Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology, Quantum ...

micro1 AI

AI Training Specialist - Physics

Renton, WA · On-site +1

$80 - $150/hr

... Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the ... Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology, Quantum ...

micro1 AI

AI Training Specialist - Physics

Bellevue, WA · On-site +1

$80 - $150/hr

... Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the ... Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology, Quantum ...

micro1 AI

AI Training Specialist - Physics

Seattle, WA · On-site +1

$80 - $150/hr

... Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the ... Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology, Quantum ...

micro1 AI

Senior Scientific Reviewer - Physics

Everett, WA · On-site +1

$80 - $150/hr

... Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the ... Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology, Quantum ...

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All JobsPostdoctoral In Bayesian Statistics JobsPostdoctoral In Bayesian Statistics Jobs in Seattle, WA

Postdoctoral In Bayesian Statistics information

See Seattle, WA salary details

$28.5K

$67.2K

$95K

How much do postdoctoral in bayesian statistics jobs pay per year?

As of Aug 22, 2026, the average yearly pay for postdoctoral in bayesian statistics in Seattle, WA is $67,168.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,800.00 and $75,700.00 per year, depending on experience, location, and employer.

What is a postdoctoral position in Bayesian statistics?

A Postdoctoral position in Bayesian Statistics is a research-focused role for individuals who have recently completed their PhD in statistics, mathematics, or a related field. These positions involve conducting advanced research using Bayesian methods, which apply probability to infer statistical conclusions. Postdocs often work on developing new Bayesian models, collaborating on interdisciplinary projects, and publishing research findings. Such positions are typically temporary and designed to further prepare researchers for academic, industry, or governmental roles.

What are the key skills and qualifications needed to thrive as a postdoctoral researcher in Bayesian statistics?

To thrive as a Postdoctoral Researcher in Bayesian Statistics, you need an advanced degree (typically a PhD) in statistics or a related field, with strong expertise in Bayesian inference and probabilistic modeling. Proficiency with statistical programming languages such as R, Python, or Stan, and experience with specialized Bayesian analysis software are highly valued. Excellent problem-solving skills, collaboration, and the ability to communicate complex statistical concepts clearly are standout soft skills for this role. These skills and qualities are crucial for conducting rigorous research, publishing impactful results, and contributing effectively to scientific teams.

What are some common challenges faced by postdoctoral researchers in Bayesian statistics, and how can they be addressed?

Postdoctoral researchers in Bayesian statistics often encounter challenges such as managing complex, high-dimensional data, staying current with rapidly evolving computational methods, and balancing independent research with collaborative projects. Effective strategies include leveraging open-source statistical software, actively participating in seminars and workshops to stay updated, and establishing regular communication with interdisciplinary teams. Building a strong professional network and seeking mentorship within the department can also help in navigating research obstacles and advancing one's career.

What is the difference between Postdoctoral In Bayesian Statistics vs Postdoctoral In Data Science?

AspectPostdoctoral In Bayesian StatisticsPostdoctoral In Data Science
Required CredentialsPhD in Statistics, Mathematics, or related fieldPhD in Computer Science, Statistics, or related field
Work EnvironmentAcademic research, university labsResearch institutions, tech companies, industry labs
Employer & Industry UsageUniversities, research institutesTech firms, finance, healthcare, consulting
Common Search & Comparison IntentSpecialized research roles in Bayesian methodsBroader data analysis and machine learning roles

Postdoctoral In Bayesian Statistics focuses on advanced research in Bayesian methods within academic settings, requiring deep statistical expertise. In contrast, Postdoctoral In Data Science covers a broader range of data analysis techniques, including machine learning, often in industry environments. Both roles require a PhD but differ in application focus and work environment.

What are popular job titles related to Postdoctoral In Bayesian Statistics jobs in Seattle, WA?

For Postdoctoral In Bayesian Statistics jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Postdoctoral In Bayesian Statistics jobs in Seattle, WA look for?

The top searched job categories for Postdoctoral In Bayesian Statistics jobs in Seattle, WA are:

Postdoctoral In Bayesian Statistics jobs near you

Postdoctoral Scholar: Climate-Related Exposures, Environmental and Occupational Health Sciences

University of Washington

Seattle, WA • On-site

$68K - $85K/yr

Full-time

Re-posted 10 days ago

University Of Washington School Of Medicine rating

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Company rating: 8.5 out of 10

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Job description

Description
About the Lab/Research Group
The Sklar lab in the Department of Environmental and Occupational Health Sciences at the University of Washington has an outstanding opportunity for a Postdoctoral Scholar to join their team. We are an interdisciplinary research group focused on policy-relevant environmental and occupational exposure assessment and epidemiology, with an emphasis on mixed-methods approaches.
Position Description
The Postdoctoral Scholar will support a state-funded project developing a Climate Change and Natural Hazard Resilience Plan (CCNHRP) aimed at estimating climate related health risks and improving the climate resilience and safety for incarcerated people and carceral workers across Washington State. The Postdoctoral Scholar will contribute to a quantitative assessment of climate related exposures across 27 carceral facilities statewide, including 10 prisons and a sample of youth, reentry, and other residential facilities. This position offers a unique opportunity to produce work with direct policy impact at the state level. The position involves close collaboration with state agency personnel and community stakeholders throughout the project lifecycle.
This project operates at the intersection of environmental science, climate science, and health equity. The Postdoctoral Scholar will work with the rest of the project team on engaging stakeholders, including incarcerated populations and staff from medical, custody, and facilities units in co-designing mitigation strategies and will contribute to cost-benefit and equity analyses that inform capital planning and Washington State hazard mitigation policy. The position offers a unique opportunity to produce work with direct policy impact at the state level.
Anticipated Duties
  • Develop and apply quantitative research methods that integrate data from multiple sources including gridded climate and hazard data, facility infrastructure and operational records, DOC administrative healthcare data, and indoor/outdoor air monitoring data to support facility-level exposure and analysis of climate related health risks
  • Model indoor environmental conditions (temperature, particulate matter) by facility cooling and ventilation type, and apply climate projections across multiple Shared Socioeconomic Pathways (SSPs) to estimate how health risks will change from historic baselines through mid- and late-century
  • Collaborate with atmospheric scientist team members to interpret and apply environmental datasets derived from gridded climate products, historical observational records, and spatially interpolated hazard metrics
  • Participate in stakeholder engagement with custody staff, incarcerated populations, and inmate council groups to co-design mitigation strategies through structured scenario-based discussions
  • Other duties as may arise from the methodology development

Qualifications
Required Qualifications
  • Doctoral degree in environmental health, epidemiology, atmospheric science, or a closely related field
  • Experience with quantitative climate or environmental risk assessment methods
  • Proficiency in statistical analysis of environmental exposure-health outcome associations, including experience with large administrative or healthcare datasets
  • Experience working with gridded environmental or climate datasets and spatial data analysis tools (e.g., R, Python, GIS)
  • Strong technical writing skills, including experience preparing peer-reviewed manuscripts or policy-relevant technical reports
  • Ability to work collaboratively across interdisciplinary teams spanning government agencies, academic research groups, and community stakeholders

Application Instructions
Salary range
This position is being offered at a salary range of $5,705 to $7,083 per month ($68,460-$85,000 per year), commensurate with experience.
Appointment Details
This is a full-time, 12-month appointment based at the University of Washington in Seattle, WA, with reappointment to subsequent years contingent upon performance and availability of funding. The anticipated start date is July 2026. Postdoctoral scholars are represented by UAW 4121 and are subject to the collective bargaining agreement, unless agreed exclusion criteria apply. For more information, please visit the University of Washington Labor Relations website.
How to apply
Interested candidates should apply through Interfolio: https://apply.interfolio.com/183319 and include: a cover letter, CV, and names of three professional references. Priority consideration will be given to applications received on or before May 22, 2026. Please send inquiries to Miles Schelling, Sklar Lab research coordinator: moschell@uw.edu.

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