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Postdoctoral In Bayesian Statistics Jobs in Missouri

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

Post Doctoral Fellow

Saint Louis, MO · On-site

$47K - $64K/yr

Postdoctoral Fellow - Computational Biology / Bioinformatics Focus: Multi-omics and Longitudinal ... Solid foundation in statistics and data modeling, particularly for longitudinal or cohort-based ...

Saint Louis University

Post Doctoral Fellow

Saint Louis, MO · On-site

$47K - $64K/yr

Postdoctoral Fellow - Computational Biology / Bioinformatics Focus:Multi-omics and Longitudinal ... Proficiency in R and/or Pythonfor statistical computing and data analysis * Solid foundation in ...

Washington University of St. Louis

$16.92 - $26.44/hr

Perform image postprocessing and some statistical analysis. * Assist all animal experimental study ... PI and Postdoc fellow. Working Conditions: * Works in a laboratory environment with potential ...

Walmart

(USA) Senior Director, Data Science

Noel, MO

$160K - $320K/yr

... Bayesian inference, basic level of NLP, Vision, neural networks, SVM, Random Forest etc ... Drive exploratory work in newer areas of Math, Statistics, Machine Learning, and Optimization ...

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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 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.
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Infographic showing various Postdoctoral In Bayesian Statistics job openings in Missouri as of June 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 83% In-person, 6% Hybrid, and 11% Remote job distribution.
Postdoctoral Fellow

Postdoctoral Fellow

Saint Louis University

Saint Louis, MO

$47K - $64K/yr

Full-time

Posted 13 days ago

Saint Louis University rating

8.7

Company rating: 8.7 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

41st of 538 rated colleges and universities

Job description

Who is Saint Louis University? Founded in 1818, Saint Louis University is one of the nation's oldest and most prestigious Catholic universities. SLU, which also has a campus in Madrid, Spain, is recognized for world-class academics, life-changing research, compassionate health care, and a strong commitment to faith and service.

The postdoctoral fellow at the Department of Internal Medicine at Saint Louis University School of Medicine will collaborate closely with a multidisciplinary research team focused on chronic kidney disease prevention and treatment. The successful candidate will contribute to ongoing research projects while also pursuing their own research agenda in line with the department's objectives.

PRIMARY JOB RESPONSIBILITIES

  • Conducting research on the kidney protective mechanisms of SGLT2 inhibitors using mice models of kidney diseases.

  • Contributing to the development of uremic toxin measurements in mice and human.

  • Collaborating with faculty and staff on research design, data collection, analysis, and interpretation.

  • Writing reports and academic papers for publication in relevant journals.

  • Participating in grant writing and seeking funding opportunities.

  • Engaging in interdisciplinary collaboration within the department and with external partners.

  • Assisting in the mentorship of graduate and undergraduate students involved in research projects.

  • Adhering to ethical guidelines and regulations governing research involving human subjects.

KNOWLEDGE, SKILLS, AND ABILITIES

  • Doctoral degree in a relevant field (e.g., Physiology and Medicine) with a strong background in quantitative research methods.

  • Experience conducting research in vivo and in vitro.

  • Proficiency in statistical analysis software such as Stata, R, or SAS.

  • Strong interpersonal and communication skills, with the ability to collaborate effectively in a team environment.

  • Demonstrated commitment to advancing kidney and cardiovascular health research.

  • Ability to work independently and manage multiple tasks simultaneously.

MINIMUM QUALIFICATIONS

  • Earned doctorate in a relevant field.

  • Track record of research productivity or strong potential for producing high-quality research outputs.

  • Familiarity with ethical considerations in research involving human subjects.

PREFERRED QUALIFICATIONS

  • Expertise in molecular science.

  • Experience with longitudinal data analysis and complex survey design.

  • Knowledge of cardiovascular and kidney diseases and evidence-based practices.

  • Previous involvement in interdisciplinary research teams.

  • Prior experience in grant writing and securing research funding.

Function

Medical Research Primary Appointment 12 mo.

Scheduled Weekly Hours:

40

Saint Louis University is an equal opportunity/affirmative action employer. All qualified candidates will receive consideration for the position applied for without regard to race, color, religion, sex, age, national origin, disability, marital status, sexual orientation, military/veteran status, gender identity, or other non-merit factors. If accommodations are needed for completing the application and/or with the interviewing process, please contact Human Resources at 314-977-5847.

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