Additional qualifications include: • A strong background and expertise in Bayesian statistical ... 1+ years of postdoctoral experience. The ideal candidates will be outstanding early-career ...
Additional qualifications include: • A strong background and expertise in Bayesian statistical ... 1+ years of postdoctoral experience. The ideal candidates will be outstanding early-career ...
... 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 ...
... 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 ...
... 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 ...
... 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 Scholar
University Park, PA · On-site
... 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 ...
Postdoctoral Scholar
University Park, PA · On-site
... 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 ...
... 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 ...
... 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 ...
Bayesian statistics and probabilistic modeling * Markov chains or stochastic modeling * Proficiency in Python along with SQL . * Experience working with Databricks or similar big data platforms
Quick apply
Bayesian statistics and probabilistic modeling * Markov chains or stochastic modeling * Proficiency in Python along with SQL . * Experience working with Databricks or similar big data platforms
Bayesian statistics and probabilistic modeling * Markov chains or stochastic modeling * Proficiency in Python along with SQL . * Experience working with Databricks or similar big data platforms
Bayesian statistics and probabilistic modeling * Markov chains or stochastic modeling * Proficiency in Python along with SQL . * Experience working with Databricks or similar big data platforms
Bayesian statistics and probabilistic modeling * Markov chains and stochastic processes * Strong programming skills in Python and SQL * Experience with Databricks or similar big data environments
Bayesian statistics and probabilistic modeling * Markov chains and stochastic processes * Strong programming skills in Python and SQL * Experience with Databricks or similar big data environments
Statistics Leader / Associate Director of Statistics
$150.15K - $250.25K/yr
Hands-on expertise in statistical modeling and innovative methods (e.g., Bayesian approaches) * Thorough knowledge of the drug development process including late-phase development, registration ...
Statistics Leader / Associate Director of Statistics
$150.15K - $250.25K/yr
Hands-on expertise in statistical modeling and innovative methods (e.g., Bayesian approaches) * Thorough knowledge of the drug development process including late-phase development, registration ...
Statistics Leader / Associate Director of Statistics
Upper Providence, PA · On-site
$150.15K - $250.25K/yr
Hands-on expertise in statistical modeling and innovative methods (e.g., Bayesian approaches) * Thorough knowledge of the drug development process including late-phase development, registration ...
Statistics Leader / Associate Director of Statistics
Upper Providence, PA · On-site
$150.15K - $250.25K/yr
Hands-on expertise in statistical modeling and innovative methods (e.g., Bayesian approaches) * Thorough knowledge of the drug development process including late-phase development, registration ...
Postdoctoral Scholar
University Park, PA · On-site
Shen and other faculty members, while also participating in the development of research projects ... The ASR includes crime statistics and institutional policies concerning campus security, such as ...
Postdoctoral Scholar
University Park, PA · On-site
Shen and other faculty members, while also participating in the development of research projects ... The ASR includes crime statistics and institutional policies concerning campus security, such as ...
Shen and other faculty members, while also participating in the development of research projects ... The ASR includes crime statistics and institutional policies concerning campus security, such as ...
Shen and other faculty members, while also participating in the development of research projects ... The ASR includes crime statistics and institutional policies concerning campus security, such as ...
Postdoctoral Scholar
University Park, PA · On-site
D. in Statistics, Biostatistics, Machine Learning, or a directly related field at the time of ... For Postdoctoral benefits, please see our Postdoctoral Benefits page.) CAMPUS SECURITY CRIME ...
Postdoctoral Scholar
University Park, PA · On-site
D. in Statistics, Biostatistics, Machine Learning, or a directly related field at the time of ... For Postdoctoral benefits, please see our Postdoctoral Benefits page.) CAMPUS SECURITY CRIME ...
Applicants must have at least one year of postdoctoral experience. Applicants must have a Ph.D. or ... in clinical trials design, analysis, and monitoring; observational studies; and Bayesian causal ...
Applicants must have at least one year of postdoctoral experience. Applicants must have a Ph.D. or ... in clinical trials design, analysis, and monitoring; observational studies; and Bayesian causal ...
D. in Statistics, Biostatistics, Machine Learning, or a directly related field at the time of ... For Postdoctoral benefits, please see our Postdoctoral Benefits page.) CAMPUS SECURITY CRIME ...
D. in Statistics, Biostatistics, Machine Learning, or a directly related field at the time of ... For Postdoctoral benefits, please see our Postdoctoral Benefits page.) CAMPUS SECURITY CRIME ...
D. in Computer Science, Computer Engineering, Applied Mathematics, or a closely related field by ... The ASR includes crime statistics and institutional policies concerning campus security, such as ...
D. in Computer Science, Computer Engineering, Applied Mathematics, or a closely related field by ... The ASR includes crime statistics and institutional policies concerning campus security, such as ...
Postdoctoral Scholar
University Park, PA · On-site +1
The postdoctoral scholar will lead and support studies in poultry, including experimental ... The ASR includes crime statistics and institutional policies concerning campus security, such as ...
Postdoctoral Scholar
University Park, PA · On-site +1
The postdoctoral scholar will lead and support studies in poultry, including experimental ... The ASR includes crime statistics and institutional policies concerning campus security, such as ...
The postdoctoral scholar will lead and support studies in poultry, including experimental ... The ASR includes crime statistics and institutional policies concerning campus security, such as ...
The postdoctoral scholar will lead and support studies in poultry, including experimental ... The ASR includes crime statistics and institutional policies concerning campus security, such as ...
Postdoctoral Scholar
University Park, PA · On-site
D. in Computer Science, Computer Engineering, Applied Mathematics, or a closely related field by ... The ASR includes crime statistics and institutional policies concerning campus security, such as ...
Postdoctoral Scholar
University Park, PA · On-site
D. in Computer Science, Computer Engineering, Applied Mathematics, or a closely related field by ... The ASR includes crime statistics and institutional policies concerning campus security, such as ...
PhD in Statistics, Biostatistics, or closely related field. * Experience with Bayesian methods, adaptive trial designs, and advanced modelling. * Experience applying statistical methods to disease ...
PhD in Statistics, Biostatistics, or closely related field. * Experience with Bayesian methods, adaptive trial designs, and advanced modelling. * Experience applying statistical methods to disease ...
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?
| Aspect | Postdoctoral In Bayesian Statistics | Postdoctoral In Data Science |
|---|---|---|
| Required Credentials | PhD in Statistics, Mathematics, or related field | PhD in Computer Science, Statistics, or related field |
| Work Environment | Academic research, university labs | Research institutions, tech companies, industry labs |
| Employer & Industry Usage | Universities, research institutes | Tech firms, finance, healthcare, consulting |
| Common Search & Comparison Intent | Specialized research roles in Bayesian methods | Broader 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 Pennsylvania? For Postdoctoral In Bayesian Statistics jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Postdoctoral In Bayesian Statistics jobs in Pennsylvania look for? The top searched job categories for Postdoctoral In Bayesian Statistics jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Postdoctoral In Bayesian Statistics jobs? Cities in Pennsylvania with the most Postdoctoral In Bayesian Statistics job openings:
Assistant Professor of Epidemiology, Research Track
University of PennsylvaniaPhiladelphia, PA • On-site
Full-time
Posted 14 days ago
University Of Pennsylvania rating
8.1
Based on 80 frontline employees who took The Breakroom Quiz
129th of 530 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.
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.
Industry
Colleges, universities, and professional schools
Company size
10,000+ Employees
Headquarters location
Philadelphia, PA, US
Year founded
1740