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Postdoctoral In Bayesian Statistics Jobs (NOW HIRING)

The Pennsylvania State University

... 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 ...

Mission Pet Health

Senior Statistical Analyst

Birmingham, AL · On-site

$81K - $100K/yr

Background in Bayesian statistics or causal inference methods What Success Looks Like First 90 Days * Audit current instrumentation and data model; document gaps and prioritize remediation * Draft ...

ChromoLogic

Senior Scientist, Bioinformatics

Monrovia, CA · On-site

$90K - $120K/yr

Apply advanced machine learning, Bayesian statistics, and predictive modeling techniques to ... D. in Computational Biology, Bioinformatics, Biostatistics, Statistics, Computer Science, or a ...

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

As of Aug 4, 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 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.
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Postdoctoral In Bayesian Statistics jobs near you
Infographic showing various Postdoctoral In Bayesian Statistics job openings in the United States as of July 2026, with employment types broken down into 9% Locum Tenens, 44% As Needed, 1% Full Time, 28% Temporary, 17% Nights, and 1% Summer. Highlights an 60% Physical, 3% Hybrid, and 37% Remote job distribution, with an average salary of $59,022 per year, or $28.4 per hour.

Postdoctoral Scholar

Penn State University

University Park, PA • On-site

Full-time

Re-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

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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.

JOB DESCRIPTION AND POSITION REQUIREMENTS:
The Department of Statistics atThe Pennsylvania State Universityinvites applications for one Postdoctoral Scholar working with Dr. Michael Schweinberger. The postdoctoral scholar is expected to work on a set of statistical-theoretical problems concerned with networks, space, time, or causal inference based on discrete and dependent data, either 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 statistical science or data science is required at the time of appointment. Successful applicants will be expected to have a strong statistical background, research experience showing independence and innovation, and demonstrated academic writing skills.
Additional Information
Applicants must complete both the Penn State application and an application through Mathjobs.org at https://www.mathjobs.org/jobs/list/24362
The following materials must be submitted: (1) Curriculum Vitae; (2) Statement of Research, Experience and Interests; (3) Names and Contact Information for three references.
The initial appointment is funded for one year from the date of hire with a possibility of refunding.
Review of applications will begin immediately and continue until the positions are filled. Following a screening of initial application materials, candidates will be contacted by email asking for letters of reference to be sent. Informal inquiries about this search may be directed to Dr. Michael Schweinberger (michael.schweinberger@psu.edu).
Employment will require successful completion of background check(s) in accordance with University polices.
The Pennsylvania State University is committed to and accountable for advancing diversity, equity, and inclusion in all of its forms. We embrace individual uniqueness, foster a culture of inclusive excellence that supports both broad and specific diversity initiatives, leverage the educational and institutional benefits of diversity, and engage all individuals to help them thrive. We value inclusive excellence as a core strength and an essential element of our public service mission.
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.
Employment with the University will require successful completion of background check(s) in accordance with University policies.
EEO IS THE LAW
Penn State is an equal opportunity, affirmative action 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.
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