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Postdoctoral In Bayesian Statistics Jobs in Levittown, PA

LSU AgCenter

Postdoctoral Researcher

Pennington, NJ · On-site

The Postdoctoral Researcher in Vascular Metabolism conducts advanced, independent, and ... Experience analyzing and interpreting complex scientific data using appropriate statistical methods ...

Varsity Tutors

Statistics Graduate Level Tutor

Trenton, NJ · Remote

$18 - $40/hr

... In a Statistics Graduate Level Tutor * Advanced Subject Mastery: Deep knowledge of mathematical statistics, maximum likelihood estimation, sufficient statistics, hypothesis testing theory, Bayesian ...

MMS

Study Design Statistician (US)

Philadelphia, PA · On-site

Bachelors degree in mathematics, statistics, physics, pharmacology or with a strong statistical ... Experience of Bayesian approaches to design and analysis of clinical data preferred. * Experience ...

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Postdoctoral In Bayesian Statistics information

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$24K

$56.7K

$80.2K

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

As of Aug 5, 2026, the average yearly pay for postdoctoral in bayesian statistics in Levittown, PA is $56,714.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,100.00 and $63,900.00 per year, depending on experience, location, and employer.

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?

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 cities near Levittown, PA are hiring for Postdoctoral In Bayesian Statistics jobs? Cities near Levittown, PA with the most Postdoctoral In Bayesian Statistics job openings:
Postdoctoral In Bayesian Statistics jobs near you

Assistant Professor of Epidemiology, Research Track

University of Pennsylvania

Philadelphia, PA • On-site

Full-time

Re-posted 21 days ago

University Of Pennsylvania rating

8.1

Company rating: 8.1 out of 10

Based on 81 frontline employees who took The Breakroom Quiz

154th of 614 rated colleges and universities

Job description

Description
The Department of Biostatistics and Epidemiology at the Perelman School of Medicine at the University of Pennsylvania seeks candidates for several Assistant Professor positions in the non-tenure research track. Expertise is required in the specific area of the statistical design and analysis of randomized clinical trials. Applicants must have a Ph.D. or equivalent degree.
Additional qualifications include:
• A strong background and expertise in Bayesian statistical methods, causal inference, machine learning, pragmatic trial designs with cluster-randomization methods, and complex missing data methodology.
• Expertise in statistical programming (R, Python, Stan/BUGS).
• Proficiency with clinical trial simulation to support both methodological research and the initial design and subsequent modification of trials.
• Experience supporting large-scale trials, clinical research networks, and/or data and safety monitoring board statistical activities.
• Experience collaborating with clinician-scientists, particularly physician-scientists.
• Proficiency in analyzing and interpreting patient-reported outcome measures such as quality-of-life endpoints, including handling of missing data such as that due to non-response, death, or other intercurrent events.
• Demonstrated aptitude working with state-of-the-art computing infrastructure, Overleaf/LaTeX, GitHub, and supporting reproducible research pipelines.
Research or scholarship responsibilities may include demonstrated ability to lead peer-reviewed publications in clinical trials methodology and support multi-site collaborative research projects.
The Center for Clinical Trials Innovation in the Division of Epidemiology, Department of Biostatistics, Epidemiology, and Informatics, in collaboration with the Palliative and Advanced Illness Research Center, seeks candidates with a PhD in Statistical Epidemiology, Biostatistics, Statistics, or a closely related quantitative field, with 1+ years of postdoctoral experience. The ideal candidates will be outstanding early-career researchers who will advance innovative clinical trial methodologies and lead cutting-edge research in the statistical design, analysis, monitoring, and interpretation of complex multi-arm, cluster, pragmatic, Bayesian, adaptive, and platform randomized trials. These faculty will be expected to lead and publish high-impact research in top-tier biostatistics, clinical trial, and clinical research journals; support, prepare, and submit grant applications; and support ongoing randomized trials and trial methodology awards with Penn faculty and external partners. In these roles, they will serve as lead biostatisticians on multi-center randomized clinical trials and methodology projects and grants, develop and evaluate composite outcome measures and interpretation frameworks, apply causal inference methods to augment experimental data interpretation, and provide independent statistical expertise and leadership to research teams.

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About University of Pennsylvania

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The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Employers By State in 2021.

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Year founded

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