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Postdoctoral In Bayesian Statistics Jobs in Missouri

Washington University of St. Louis

Information on being a postdoc at Washington University in St. Louis can be found at Lab website ... Statistical Genomics or a related discipline involving the interrogation of 'omics' datasets.

Saint Louis University

Postdoctoral Fellow

Saint Louis, MO

$47K - $64K/yr

The postdoctoral fellow at the Department of Internal Medicine at Saint Louis University School of ... Proficiency in statistical analysis software such as Stata, R, or SAS. * Strong interpersonal and ...

Saint Louis University

Postdoctoral Fellow

Saint Louis, MO · On-site

$47K - $64K/yr

The postdoctoral fellow at the Department of Internal Medicine at Saint Louis University School of ... Proficiency in statistical analysis software such as Stata, R, or SAS. * Strong interpersonal and ...

micro1 AI

AI Training Specialist - Physics

Kansas City, MO · 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

Springfield, MO · 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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Postdoctoral In Bayesian Statistics information

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.

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Postdoctoral In Bayesian Statistics jobs near you
Infographic showing various Postdoctoral In Bayesian Statistics job openings in Missouri as of August 2026, with employment types broken down into 78% Full Time, 19% Part Time, and 3% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.

Postdoctoral Fellow

Saint Louis, MO • On-site

Washington University in St Louis Danforth Campus
See more jobs at Washington University in St Louis Danforth Campusexternal

$47K - $64K/yr

Full-time

Re-posted 29 days ago

Job description

Description
The Department of Statistics and Data Science at Washington University in St. Louis seeks one or more postdoctoral fellows, including the possibility of one William Chauvenet Post-doctoral Lecturer, to engage in both teaching and research with a flexible start date.
The initial one-year term is renewable for up to two additional academic years with satisfactory performance. The teaching load is normally two courses per year for a postdoc who will be research active under the supervision of a faculty member at the university. Applicants should demonstrate excellence in teaching and show definite promise in research. Special consideration will be given to candidates whose research has significant overlap with that of existing faculty in the department.
Qualifications
A PhD in Statistics or a related field.
Application Instructions
An application should include curriculum vitae, research and teaching statements, and three letters of recommendation, at least one of which addresses teaching ability. All qualified applicants will be automatically considered for the William Chauvenet Post-doctoral Lecturer position, which comes with a discretionary research fund and a two-year term with the potential for the third year.

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