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Postdoctoral In Bayesian Statistics Jobs in Missouri

Post Doctoral Fellow

Saint Louis, MO · On-site

$47.60K - $64.70K/yr

JOB SUMMARY The postdoctoral fellow at the Department of Psychiatry and Behavioral Neuroscience at ... Proficiency in statistical analysis software such as Stata, R, or SAS. Strong interpersonal and ...

Post Doctoral Fellow

Saint Louis, MO · On-site

$47.60K - $64.70K/yr

JOB SUMMARY The postdoctoral fellow at the Department of Psychiatry and Behavioral Neuroscience at ... Proficiency in statistical analysis software such as Stata, R, or SAS. * Strong interpersonal and ...

Post Doctoral Fellow

Saint Louis, MO

$47.60K - $64.70K/yr

JOB SUMMARY The postdoctoral fellow at the Department of Psychiatry and Behavioral Neuroscience at ... Proficiency in statistical analysis software such as Stata, R, or SAS. * Strong interpersonal and ...

... frameworks, Bayesian Networks and Operations Research methods (Newsvendor problem, Travelling ... Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science ...

... frameworks, Bayesian Networks and Operations Research methods (Newsvendor problem, Travelling ... Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science ...

... frameworks, Bayesian Networks and Operations Research methods (Newsvendor problem, Travelling ... Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science ...

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Postdoctoral In Bayesian Statistics information

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 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 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 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? For Postdoctoral In Bayesian Statistics jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Postdoctoral In Bayesian Statistics jobs in Missouri look for? The top searched job categories for Postdoctoral In Bayesian Statistics jobs in Missouri are:
What cities in Missouri are hiring for Postdoctoral In Bayesian Statistics jobs? Cities in Missouri with the most Postdoctoral In Bayesian Statistics job openings:
Infographic showing various Postdoctoral In Bayesian Statistics job openings in Missouri as of May 2026, with employment types broken down into 82% Full Time, and 18% Part Time. Highlights an 82% In-person, 9% Hybrid, and 9% Remote job distribution.
Post Doctoral Fellow

Post Doctoral Fellow

Saint Louis University

Saint Louis, MO • On-site

$47.60K - $64.70K/yr

Full-time

Posted 23 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

38th of 530 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.

JOB SUMMARY


The postdoctoral fellow at the Department of Psychiatry and Behavioral Neuroscience at Saint Louis University School of Medicine will
collaborate closely with a multidisciplinary research team focused on investigating the epidemiology of suicide/self-harm, suicide prevention,
intervention, and other pertinent mental health issues. 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 epidemiology of suicide/self-harm and related mental health issues.
Contributing to the development and implementation of suicide prevention and intervention strategies.
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., public health, psychology, psychiatry) with a strong background in quantitative
research methods.
Experience conducting research in the field of mental health, particularly in the areas of suicide/self-harm epidemiology and
prevention.
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 mental health research and addressing public health challenges.
Ability to work independently and manage multiple tasks simultaneously.
Job Description

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 epidemiological methods and study design.
Experience with longitudinal data analysis and complex survey design.
Knowledge of mental health interventions 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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