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Postdoctoral In Bayesian Statistics Jobs in New York

CyberCoders

Data Scientist

New York, NY · On-site

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 ...

CyberCoders

Data Scientist

New York, NY · On-site

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 ...

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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 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.

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Cities in New York with the most Postdoctoral In Bayesian Statistics job openings:

Postdoctoral In Bayesian Statistics jobs near you
Infographic showing various Postdoctoral In Bayesian Statistics job openings in New York as of September 2026, with employment types broken down into 2% Internship, 78% Full Time, 19% Part Time, and 1% Contract. Highlights an 79% Physical, 4% Hybrid, and 17% Remote job distribution.

POSTDOCTORAL ASSOCIATE

New York, NY • On-site

New York University
Colleges, Universities, and Professional Schools • 10K+ employees
Learn more about New York Universityexternal

$65K/yr

Full-time

Re-posted 24 days ago

New York University rating

8.5

Company rating: 8.5 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

Job description

Description
POSTDOCTORAL ASSOCIATE
New York University Tandon School of Engineering
The Department of Chemical and Biomolecular Engineering at NYU Tandon School of Engineering is seeking to hire a Post Doctoral Associate to work with Professor Phillip M. Rauscher.
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 research group where the position resides is recognized for outstanding work in chemical physics, statistical thermodynamics, and machine learning.
Responsibilities
Candidates will be responsible for leading research projects to develop AI models for predicting and designing complex molecular formulations. Key responsibilities include:
  1. Acquire or generate thermophysical property data either from literature mining, high throughput experiment, or molecular simulations.
  2. Write, maintain, and disseminate software and/or AI models developed during the project.
  3. Report findings and results in peer reviewed journals and conferences
  4. Mentor and assist graduate and undergraduate students within the research group.
  5. Contribute to the development of research proposals and collaborative projects, including federal and industry-sponsored funding opportunities.

Salary range
In compliance with NYC's Pay Transparency Act, the annual base salary for this position is $65,000, or more, depending on the candidate's experience and qualification.
Qualifications
Candidates should have a PhD in chemistry, engineering, physics 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. The successful candidate will have a demonstrated background in machine learning, physical chemistry, and thermodynamics as exemplified by a strong publication record. Previous experience in agentic AI research is desired.
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 and to: p.rauscher@nyu.edu.
Review of applications will begin as soon as possible and will continue until the position is filled. Expected start date is 9/1/26.

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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.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1831

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