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Postdoctoral In Bayesian Statistics Jobs in Seattle, WA

Applied Scientist- Pricing

Seattle, WA · On-site

$156K - $335K/yr

Experience with one or more of the following: causal inference, Bayesian modeling, structural ... Advanced degree (MS or PhD preferred) in statistics, mathematics, economics, operations research ...

... Postdoc) and professional experience demonstrating comparable impact and expertise. * Masters or PhD in Mathematics, Statistics, Data Science, Economics, or a related analytical field (Bachelors ...

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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 Jun 26, 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 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 the key skills and qualifications needed to thrive as a Postdoctoral Researcher in Bayesian Statistics, and why are they important?

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 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 Scholar in Speech and Hearing Sciences

Postdoctoral Scholar in Speech and Hearing Sciences

University of Washington

Seattle, WA • On-site

$5.7K - $6.0K/mo

Full-time

Posted 11 days ago


University Of Washington School Of Medicine rating

7.8

Company rating: 7.8 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

179th of 539 rated colleges and universities


Job description

Description
A Postdoctoral Scholar position is available working under the general direction of a Principal Investigator(s), this position will help conduct a Bezos Family Foundation-funded research study aiming to investigate parent infant interaction with a focus on music and speech at the University of Washington Seattle Campus. This job focuses on analyzing a large longitudinal dataset (video-audio recordings and infant MEG data) as well as assisting in manuscript preparation and result dissemination. Additional opportunities exist in participating in development and coordination of new research studies, as well as professional development for careers in independent research, such as independent grant submission. Interest and career plan in developmental auditory neuroscience is recommended.
The position is full-time (12-month service period), with an initial appointment for one year, and renewal is possible pending satisfactory performance.
Applications will be continuously reviewed until position is filled. Preferred start date is November 1, 2025..
The base salary range for this position will be $5,705.00 - $6,051.00 per month, commensurate with experience and qualifications, or as mandated by a U.S. Department of Labor prevailing wage determination. depending on experience.
Job responsibilities
1. Research Duties (90%)
a. Develop analysis protocol for video-audio recordings of parent infant interaction and conduct in-depth analysis (20%).
b. Analyze infant MEG raw data (20%).
c. Perform statistical analyses on the dataset to address research questions (20%).
d. Review relevant literature, assist with preparing manuscripts and with the preparation of progress reports (10%).
e. Disseminate results through professional meetings or outreach activities (5%).
f. May supervise or co-supervise and train a student(s) to assist with these projects (5%).
g. In collaboration with the PI, develop study protocols (5%).
h. In collaboration with research staff, help recruit participating families, schedule their lab visits, obtain informed consent and help with neuroimaging procedures in participating infants. (5%).
2. Administrative Responsibilities (10%)
a. Document and manage research related tools, such as analysis scripts, testing protocols (3%).
b. Help research staff maintain a research database, including keeping identifiable secure, tracking appointments and raw data (3%).
c. Prepare materials for IRB as well as progress reports (3%).
d. Perform related duties as needed (1%).
Qualifications
Requirement
1. PhD in Speech and Hearing Science, Communication Sciences, Psychology, Neuroscience, Engineering, Computer Science, or a related field is required.
2. Strong analytical skills and experience with programming language(s) (MEG analysis in our lab is largely python based with additional R scripting)
3. Research backgrounds in early human development.
4. Strong communication and organizational skills, as well as ability to work in a team.
Desired
• Prior experience analyzing video recordings of parent and infant behaviors.
• Prior experience conducting research in human subjects using neuroimaging methods.
• Prior experience working with infants and young children.
• A strong publication record.
Conditions of Employment
• Ability to exercise substantial autonomy, independent judgment, and decision-making authority
• Ability to communicate, collaborate and work with team members
• Technical guidance will be given on unusual or complex problems and supervisory approval on proposed plans for projects will be required
Application Instructions
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.
Applicants should provide (1) a cover letter, (2) a curriculum vita, (3) copies of paper reprints and (4) contact information for two references. (5) statement describing past and/or potential contributions to equity, diversity, and inclusion.Application materials must be submitted via Interfolio. For any project questions, please email Christina Zhao, Ph.D., at zhaotc@uw.edu