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Postdoctoral In Bayesian Statistics Jobs in Manhattan, NY

Experience with statistical methods and analysis such as bias vs. variance tradeoffs, Bayesian Stats, probability distributions, regressions, etc. Coding experience in a production environment. You ...

Experience with statistical methods and analysis such as bias vs. variance tradeoffs, Bayesian Stats, probability distributions, regressions, etc. Coding experience in a production environment. You ...

The focus of the Lab is in the area of differential protein expression in the human vascular ... Compiles and presents statistical data with appropriate conclusions and recommendations pertinent ...

OceanX is seeking a Postdoctoral Associate in a field related to marine biology, oceanography ... Conduct bioinformatic and statistical analyses of molecular and ecological datasets. * Contribute ...

Description POSTDOCTORAL ASSOCIATE New York University Tandon School of Engineering Human Factors ... Proficiency in statistical modeling and analysis of human performance data (reaction time, workload ...

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

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Postdoctoral In Bayesian Statistics information

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$27.6K

$65.1K

$92.2K

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

As of Aug 22, 2026, the average yearly pay for postdoctoral in bayesian statistics in Manhattan, NY is $65,138.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,100.00 and $73,400.00 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 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 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 popular job titles related to Postdoctoral In Bayesian Statistics jobs in Manhattan, NY?

For Postdoctoral In Bayesian Statistics jobs in Manhattan, NY, the most frequently searched job titles are:

What job categories do people searching Postdoctoral In Bayesian Statistics jobs in Manhattan, NY look for?

The top searched job categories for Postdoctoral In Bayesian Statistics jobs in Manhattan, NY are:

What cities near Manhattan, NY are hiring for Postdoctoral In Bayesian Statistics jobs?

Cities near Manhattan, NY with the most Postdoctoral In Bayesian Statistics job openings:

POSTDOCTORAL ASSOCIATE

New York University

New York, NY • On-site

$72K/yr

Full-time

Re-posted yesterday


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Job description

Description
POSTDOCTORAL ASSOCIATE
New York University Tandon School of Engineering
The Chemical & Biomolecular Engineering Department at NYU Tandon School of Engineering is seeking to hire a Post Doctoral Associate to work in the lab of Professor Juan De Pablo.
New York University (NYU) is one of the top private universities in the United States, and the Tandon School of Engineering, located in Brooklyn, NY, is deeply committed to excellence in teaching and learning. Tandon fosters student and faculty innovation and entrepreneurship that make a difference in the world. The De Pablo Research Group focuses on the physics and thermodynamics of complex materials using statistical mechanics, molecular simulations, and machine learning.
Expectations
Candidates will be responsible for:
  • Developing multi-scale modeling methods for polymeric materials, using advanced computational techniques to investigate their thermodynamic and transport properties and behavior.
  • Providing presentation of research results at weekly lab meetings and at national or international scientific meetings; including preparation and submission of papers that result in peer-reviewed journals.
  • Liaison with NYU departments or other institutions for collaborative research efforts.
  • Assists faculty researchers and other collaborators, or may act independently, in planning and designing research experiments.
  • Data collection, processing and analysis.
  • May train research staff, graduate or undergraduate students within the lab.

The successful candidate will have a demonstrated background in Chemistry, Physics, Engineering, or a field related to the research being conducted. The individual must be able to work in a group setting and be able to document the results in a format suitable for publication as exemplified by a strong publication record. Previous experience in fluids and materials design, biological process control, and complex and dynamical systems is desired.
In compliance with NYC's Pay Transparency Act, the annual base salary for this position is $72,000 depending on the candidate's experience and qualification.
Qualifications
Candidates should have a PhD in Chemical Engineering or a related field. We welcome applicants with recent PhDs and individuals seeking additional postdoctoral training. Candidates will be required to present eligibility to work in the United States.
Application Instructions
Applicants should submit, as one pdf, the following information:
  • an up-to-date CV that includes a complete list of publications,
  • a research statement that describes their interest and goals and how their research relates to this position,
  • copies of up to three relevant scientific papers,
  • names and contact information for three references.

All application materials should be submitted electronically via Interfolio.
Review of applications will begin as soon as possible and will continue until the position is filled. Expected start date is September 1, 2026.

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About New York University

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Since its founding in 1831, NYU has been an innovator in higher education, reaching out to an emerging middle class, embracing an urban identity and professional focus, and promoting a global vision that informs its 20 schools and colleges. Today, that trailblazing spirit makes NYU one of the most prominent and respected research universities in the world, featuring top-ranked academic programs and accepting fewer than one in eight undergraduates. Anchored in New York City and with degree-granting campuses in Abu Dhabi and Shanghai as well as 12 study away sites throughout the world, NYU is a leader in global education, with more international students and more students studying abroad than any other US university.

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Year founded

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