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Bayesian Jobs in North Carolina (NOW HIRING)

CoVar

Machine Learning Engineer

Durham, NC · On-site

Deep knowledge of state-of-the-art in any of the following: computer vision (preferred), natural language processing, classical machine learning, Bayesian models, etc. • B.S., preferably M.S. or Ph.

CoVar

Machine Learning Engineer

Durham, NC

Deep knowledge of state-of-the-art in any of the following: computer vision (preferred), natural language processing, classical machine learning, Bayesian models, etc. * B.S., preferably M.S. or Ph.D ...

Varsity Tutors

Statistics Graduate Level Tutor

Durham, NC · Remote

$18 - $40/hr

Deep knowledge of mathematical statistics, maximum likelihood estimation, sufficient statistics, hypothesis testing theory, Bayesian inference, regression analysis, multivariate methods, experimental ...

Varsity Tutors

Statistics Graduate Level Tutor

Raleigh, NC · Remote

$18 - $40/hr

Deep knowledge of mathematical statistics, maximum likelihood estimation, sufficient statistics, hypothesis testing theory, Bayesian inference, regression analysis, multivariate methods, experimental ...

MMS

Study Design Statistician (US)

Raleigh, NC · On-site

Experience of Bayesian approaches to design and analysis of clinical data preferred. * Experience of early-phase drug development processes including innovative/ adaptive study design preferred.

RTI International

Senior Research Statistician

Raleigh, NC

$84K - $104K/yr

Bayesian and other advanced statistical methodologies * Develop, validate, document, and maintain statistical programming code and analytical tools using R, STATA, and/or other statistical packages.

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$115.6K

$123.7K

$132.6K

How much do bayesian jobs pay per year?

As of Aug 31, 2026, the average yearly pay for bayesian in North Carolina is $123,720.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,854.00 and $127,586.00 per year, depending on experience, location, and employer.

What is a Bayesian?

A Bayesian job typically involves applying Bayesian statistics, probabilistic modeling, and inference techniques to analyze data and make decisions under uncertainty. Professionals in this field use Bayes' theorem to update beliefs based on new evidence, often working in areas like machine learning, finance, healthcare, and research. Common roles include Bayesian statisticians, data scientists, and researchers who build probabilistic models to improve predictions and decision-making.

What are the typical projects or challenges faced in a Bayesian role?

In a Bayesian role, you’ll often work on projects involving probabilistic modeling, uncertainty quantification, and predictive analytics for real-world decision-making. Common challenges include structuring prior distributions, ensuring computational efficiency for complex models, and clearly explaining Bayesian results to non-technical stakeholders. You might collaborate closely with data engineers, domain experts, and business analysts to refine models and translate findings into actionable recommendations. This role offers the opportunity to tackle diverse analytical problems across industries like healthcare, finance, or tech, supporting ongoing professional growth and learning.

What are the key skills and qualifications needed to thrive in a Bayesian role, and why are they important?

To thrive as a Bayesian (typically a Bayesian Data Scientist or Statistician), you need a strong background in probability theory, statistical modeling, and mathematics, often with an advanced degree in statistics, data science, or a related quantitative field. Experience with programming languages such as Python or R, Bayesian analysis libraries (e.g., Stan, PyMC), and familiarity with statistical software are commonly required. Analytical thinking, collaborative teamwork, and the ability to communicate complex results clearly are valuable soft skills in this role. These abilities are essential for designing robust models, interpreting data accurately, and delivering actionable insights to interdisciplinary teams.

What are the most commonly searched types of Bayesian jobs in North Carolina?

The most popular types of Bayesian jobs in North Carolina are:

What are popular job titles related to Bayesian jobs in North Carolina?

For Bayesian jobs in North Carolina, the most frequently searched job titles are:

What job categories do people searching Bayesian jobs in North Carolina look for?

The top searched job categories for Bayesian jobs in North Carolina are:

Bayesian jobs near you
Infographic showing various Bayesian job openings in North Carolina as of August 2026, with employment types broken down into 74% Full Time, 17% Part Time, 7% Temporary, and 2% Contract. Highlights an 57% Physical, 4% Hybrid, and 39% Remote job distribution, with an average salary of $123,720 per year, or $59.5 per hour.

Postdoc in Statistical Science at Duke

Durham, NC • On-site

The International Society for Bayesian Analysis
See more jobs at The International Society for Bayesian Analysisexternal

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Duke University Department of Statistical Science has multiple Postdoctoral Associate positions to work with Professors David Dunson and Amy Herring in developing novel statistical methods for high-dimensional, complex, and/or structured data. A particular focus is on inferring latent structure (e.g., clusters) in data, while characterizing uncertainty. Motivating applications include ecology studies of biodiversity, environmental health, infectious disease subtyping, and neuroscience.

The research aims to develop fundamentally new classes of statistical models, along with theory support and efficient computational algorithms, motivated by scientific and medical applications. The work should lead to publications in leading statistical journals, as well as practical algorithms and code for use by scientists in other fields.

Ideal candidates will be finishing a PhD in statistics, mathematics, or a closely related field, with rigorous technical training, a strong publication record, and proven abilities in applied-driven methods development. Interest and experience in analyzing large audio and image datasets, complex Bayesian modeling, and collaboration with researchers outside statistics are pluses. The positions can start anytime, with application review beginning immediately. Teaching opportunities are available to interested and qualified candidates.

Please submit a CV, a brief letter of interest, and the names of 3 or more references to this link . Duke University is an Affirmative Action/Equal Opportunity Employer committed to providing employment opportunities without regard to age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or veteran status. Our community values collaboration, innovation, creativity, and belonging.

We believe that a diverse range of perspectives, backgrounds, and experiences enriches our collective success. We are committed to creating a secure and welcoming environment where all members feel respected, heard, and valued.

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