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Postdoctoral In Bayesian Statistics Jobs (NOW HIRING)

The primary research focus will be on developing novel statistical methodologies and software for Bayesian adaptive clinical trial designs. The postdoctoral fellow will also actively participate in ...

The primary research focus will be on developing novel statistical methodologies and software for Bayesian adaptive clinical trial designs. The postdoctoral fellow will also actively participate in ...

The primary research focus will be on developing novel statistical methodologies and software for Bayesian adaptive clinical trial designs. The postdoctoral fellow will also actively participate in ...

... Bayesian statistics and machine learning. Exemplary software engineering skills are also required ... The candidate must have a PhD in Physics, Astronomy or a closely related field.This is a term ...

Postdoctoral Fellows

Bloomington, IN

$42.70K - $58K/yr

Postdoctoral Fellow in Biostatistics and Health Data Science Specific Title Appointment Type ... in R, SASS, and/or Python, Bayesian computing, statistical modeling, and clinical data analysis ...

Postdoctoral Fellows

Bloomington, IN

$45.30K - $61.50K/yr

Postdoctoral Fellow in Biostatistics and Health Data Science Specific Title Appointment Type ... in R, SASS, and/or Python, Bayesian computing, statistical modeling, and clinical data analysis ...

... Bayesian or non-Bayesian. If desired, the postdoctoral scholar may teach one course in the Department of Statistics per year, but teaching is not expected. Education and Experience A Ph.D. in ...

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How much do postdoctoral in bayesian statistics jobs pay per year?

As of May 30, 2026, the average yearly pay for postdoctoral in bayesian statistics in the United States is $59,022.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $66,500.00 per year, depending on experience, location, and employer.

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.

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What states have the most Postdoctoral In Bayesian Statistics jobs? States with the most job openings for Postdoctoral In Bayesian Statistics jobs include:
Postdoctoral Fellow - Biostatistics

Postdoctoral Fellow - Biostatistics

MD Anderson

Houston, TX • On-site, Remote

$64K - $76K/yr

Full-time

Medical, Dental, Retirement, PTO

Posted 24 days ago


MD Anderson Cancer Center rating

8.4

Company rating: 8.4 out of 10

Based on 163 frontline employees who took The Breakroom Quiz

31st of 864 rated healthcare providers


Job description

The Department of Biostatistics at the University of Texas MD Anderson Cancer Center has an open postdoctoral position. The Postdoctoral Fellow will work under the supervision of Dr. Ying Yuan. The primary research focus will be on developing novel statistical methodologies and software for Bayesian adaptive clinical trial designs. The postdoctoral fellow will also actively participate in research meetings with medical collaborators to implement applications related to methodological research projects.
All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations.
LEARNING OBJECTIVES
Learn statistical theory and its application in cancer clinical trials; obtain expertise in Bayesian adaptive designs, hierarchical models, and biomarker-based clinical trial design and analysis for precision medicine; develop strong programming and computational skills; gain interest in statistical methodology research; and acquire extensive experience in R, R Shiny, and React.
ELIGIBILITY REQUIREMENTS
We seek a highly motivated individual with a Ph.D. in statistics, biostatistics, or a related quantitative field. Candidates must have strong methodological training in statistics or biostatistics, and strong computer programming skills. Expertise or skills in the following areas are highly desirable: Bayesian statistics, and adaptive clinical trial design.
Please send CV and information on three referees directly to yyuan@mdanderson.org.
POSITION INFORMATION
MD Anderson offers full-time postdoc positions with a salary ranging from $64,000 to $76,000. depending on the number of years of postgraduate experience. The University of Texas MD Anderson Cancer Center offers excellent benefits, including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and individual and team recognition
Offsite work arrangements are subject to approval and may be modified or revoked at any time based on business needs, performance considerations, or regulatory requirements.
This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment.
It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html

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