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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 · 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 ...

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

Saint Louis, 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

Columbia, 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.

What are popular job titles related to Postdoctoral In Bayesian Statistics jobs in Missouri?

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What job categories do people searching Postdoctoral In Bayesian Statistics jobs in Missouri look for?

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What cities in Missouri are hiring for Postdoctoral In Bayesian Statistics jobs?

Cities in Missouri with the most Postdoctoral In Bayesian Statistics job openings:

Postdoctoral In Bayesian Statistics jobs near you
Infographic showing various Postdoctoral In Bayesian Statistics job openings in Missouri as of September 2026, with employment types broken down into 2% Internship, 80% Full Time, 17% Part Time, and 1% Contract. Highlights an 78% Physical, 4% Hybrid, and 18% Remote job distribution.

Software Engineer - Collision Avoidance System Metrics

California, MO • On-site

Jobtailor
See more jobs at Jobtailorexternal

$154K - $183K/yr

Other

Posted 7 days ago

Job description

  • Apply distributed computing algorithms to analyze petabytes of urban driving data
  • Develop metrics and tools to analyze errors and system improvements
  • Work closely with CAS engineers to evaluate system performance
  • Collaborate with Perception engineers to define metrics for autonomous driving
  • Partner with Planning engineers to measure performance in complex urban environments
  • Define and build metrics to measure Collision Avoidance System performance
  • Work with Systems Design and Mission Assurance and QA teams to develop validation plans for features
Requirements
  • BS, MS, or PhD degree in computer science or a related field
  • Fluency in C++ and/or Python
  • Extensive experience with programming and algorithm design
  • Experience with analysis of latency for safety-critical software systems (bonus qualification)
  • Experience with petabyte-scale distributed computing, including Spark, Databricks, or generic MapReduce pipelines (bonus qualification)
  • Background in Bayesian statistics (bonus qualification)
Core Competencies

Demonstrates expertise in distributed computing algorithms and performance analysis for safety-critical software systems, with a strong foundation in programming and algorithm design. Proficient in developing metrics and tools for evaluating system performance in complex urban environments.

Highest-signal resume keywords
  • C++ Programming
  • Python Programming
  • Distributed Computing
  • Algorithm Design
  • Performance Analysis
Hard Skills
  • Programming
  • Algorithm Design
  • Metrics Development
  • Error Analysis
  • System Improvement
Industry Keywords
  • Petabyte-Scale Data
  • Collision Avoidance System
  • Bayesian Statistics
  • Safety-Critical Software
Tools & Technologies
  • Spark
  • Databricks
  • MapReduce
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