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Postdoctoral In Bayesian Statistics Jobs in Pennsylvania

... 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 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 ...

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 ...

D. in a relevant field (e.g. atmospheric science, oceanography, geography, geosciences, statistics ... 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 ...

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 ...

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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?

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 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:

Postdoctoral Scholar - Public Health Sciences

Penn State University

Hershey, PA • On-site

Full-time

Posted 27 days ago


Penn State University rating

7.8

Company rating: 7.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

225th of 614 rated colleges and universities


Job description

APPLICATION INSTRUCTIONS:
  • CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
  • CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
  • If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.

Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants.
This is a term position; length of the term will be discussed during the interview process. Continuation past the term length discussed will be based on university need, performance, and/or availability of funding.
POSITION SPECIFICS
Postdoctoral Scholar in Biostatistics: Novel Adaptive Clinical Trial Design Methodology
The Department of Public Health Sciences, Division of Biostatistics and Bioinformatics, at Penn State College of Medicine in Hershey, PA invites applications for a Postdoctoral Scholar position in biostatistics, statistics, or a closely related quantitative field. The position will focus on the development of next-generation statistical methods and software for adaptive clinical trial designs, with an emphasis on early-phase oncology trials.
The Postdoctoral Scholar will work under the mentorship of Dr. Shouhao Zhou at Penn State University, in collaboration with Dr. J. Jack Lee at MD Anderson Cancer Center and other clinical and methodological collaborators. The position provides an excellent opportunity for a highly motivated researcher to develop a strong independent research profile at the interface of Bayesian statistics, clinical trial design, optimization, computational statistics, and/or translational cancer research.
The successful candidate will contribute to methodological innovation, computational implementation, simulation studies, software development, manuscript preparation, and grant-related research activities. The work will support ongoing and planned projects on Bayesian adaptive designs, globally optimal dose-finding and phase I/II designs, pediatric and adult oncology trials, and efficient optimization algorithms for complex trial design spaces.
Required qualifications:
A PhD or equivalent doctoral degree in biostatistics, statistics, applied mathematics, operations research, computer science, engineering, or a closely related quantitative field.
Strong programming skills in at least one major scientific computing language such as R, Python, C++, or a similar language.
Ability to conduct independent research, communicate clearly, and work effectively in a multidisciplinary research environment.
Strong written communication skills and interest in publishing methodological and collaborative research.
Preferred qualifications:
Strong methodological training in statistical inference, computational statistics, reinforcement learning, or optimization.
Experience with Bayesian statistics, adaptive clinical trial design, dose-finding methods, phase I/II trial designs, model-assisted or model-based trial designs, or oncology clinical trials.
Prior publications or preprints in biostatistics, statistics, clinical trials, machine learning, optimization, or related methodological areas.
Learning and applying deep learning, agentic AI, and other AI methods in assisting research is encouraged.
Research environment and career development:
The Postdoctoral Scholar will join an active and growing biostatistics research environment at Penn State University College of Medicine, with opportunities to collaborate across Penn State, MD Anderson Cancer Center, and multidisciplinary cancer research teams. The position is designed to support the candidate's development as an independent methodological researcher through high-impact publications, software dissemination, conference presentations, grant involvement, and collaborative clinical trial design experience.
Application materials:
Applicants should submit a curriculum vitae, a brief statement of research interests, contact information for three references, and representative publications or writing samples if available. Review of applications will begin immediately and continue until the position is filled.
BACKGROUND CHECKS/CLEARANCES
Employment with the University will require successful completion of background check(s) in accordance with University policies.
BENEFITS
Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional well-being.
For more detailed information, please visit our Benefits Page. (Note: For Postdoctoral benefits, please see our Postdoctoral Benefits page.)
CAMPUS SECURITY CRIME STATISTICS
Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.
EEO IS THE LAW
Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.
Penn State is committed to and accountable for advancing equity, respect, and belonging. We embrace individual uniqueness, as well as a culture of belonging that supports equity initiatives, leverages the educational and institutional benefits of inclusion in society, and provides opportunities for engagement intended to help all members of the community thrive. We value belonging as a core strength and an essential element of the university's teaching, research, and service mission.
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