ZipRecruiter

Log In

1

Bayesian Modeling Jobs in Richardson, TX (NOW HIRING)

Varsity Tutors

Statistics Graduate Level Tutor

Plano, TX · Remote

$18 - $40/hr

... Bayesian inference, regression analysis, multivariate methods, experimental design, and ... Ability to explain asymptotic theory, Neyman-Pearson lemma, and generalized linear models while ...

Varsity Tutors

Statistics Graduate Level Tutor

Allen, TX · Remote

$18 - $40/hr

... Bayesian inference, regression analysis, multivariate methods, experimental design, and ... Ability to explain asymptotic theory, Neyman-Pearson lemma, and generalized linear models while ...

TeleWorld Solutions

Machine Learning Engineer

Plano, TX · On-site

... Bayesian Regression, and Times Series Modeling. Experience using data with high-volume (1TB+) & high-dimensionality (500+ variables per schema), especially within a big data framework (HaDoop, Citus ...

next page

Showing results 1-20

All JobsBayesian Modeling JobsBayesian Modeling Jobs in Richardson, TX

Bayesian Modeling information

See Richardson, TX salary details

$9

$53

$75

How much do bayesian modeling jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for bayesian modeling in Richardson, TX is $53.32, according to ZipRecruiter salary data. Most workers in this role earn between $47.79 and $62.02 per hour, depending on experience, location, and employer.

What is Bayesian modeling?

Bayesian modeling is a statistical approach that uses Bayes' Theorem to update the probability of a hypothesis as more data becomes available. It incorporates prior beliefs or knowledge, combines them with observed data, and produces a posterior probability distribution to guide inference and decision-making. This approach is widely used in various fields such as machine learning, data science, and scientific research for tasks like parameter estimation, prediction, and model selection.

How does a Bayesian modeling specialist typically collaborate with cross-functional teams in a workplace setting?

Bayesian Modeling specialists often work closely with data scientists, software engineers, and domain experts to integrate probabilistic models into larger analytical or production systems. They are involved in translating complex statistical concepts into actionable insights and recommendations tailored to business needs. Effective communication is key, as they must present findings to both technical and non-technical stakeholders, ensuring that model assumptions and results are clearly understood. Collaboration may also include contributing to code reviews, sharing best practices for model validation, and mentoring colleagues on Bayesian methodologies.

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

To thrive as a Bayesian Modeler, you need a solid background in statistics, probability theory, and mathematical modeling, often supported by an advanced degree in statistics, mathematics, or a related field. Proficiency with programming languages such as R, Python, or Stan, and experience with statistical software and Bayesian inference tools are essential. Strong analytical thinking, attention to detail, and effective communication skills help in interpreting results and collaborating with multidisciplinary teams. These skills ensure accurate model development, reliable data-driven insights, and clear communication of complex findings to stakeholders.

What is the difference between Bayesian Modeling vs Data Scientist?

AspectBayesian ModelingData Scientist
Required CredentialsStatistics, Mathematics, Data AnalysisStatistics, Computer Science, Data Analysis
Work EnvironmentResearch-focused, statistical modelingCross-functional, data analysis, visualization
Industry UsageResearch, academia, specialized analyticsBusiness, tech, finance, healthcare
Common Search/ComparisonYesYes

Bayesian Modeling and Data Scientists often overlap in skills like statistics and data analysis. Bayesian Modeling specializes in probabilistic models and statistical inference, while Data Scientists have broader roles including data cleaning, visualization, and machine learning. Both roles are essential in data-driven industries, but Bayesian Modeling is more focused on advanced statistical techniques.

What are popular job titles related to Bayesian Modeling jobs in Richardson, TX?

For Bayesian Modeling jobs in Richardson, TX, the most frequently searched job titles are:

What job categories do people searching Bayesian Modeling jobs in Richardson, TX look for?

The top searched job categories for Bayesian Modeling jobs in Richardson, TX are:

What cities near Richardson, TX are hiring for Bayesian Modeling jobs?

Cities near Richardson, TX with the most Bayesian Modeling job openings:

Bayesian Modeling jobs near you
Infographic showing various Bayesian Modeling job openings in Richardson, TX as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $110,903 per year, or $53.3 per hour.

POSTDOCTORAL RESEARCHER-Bayesian Biostatistics for Multicenter Clinical Trials-DeSantis Lab

University Of Texas Southwestern Medical Cent (The

Dallas, TX

Full-time

Medical, Retirement, PTO

Posted 7 days ago

UT Southwestern rating

7.9

Company rating: 7.9 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

107th of 888 rated healthcare providers

Job description

POSTDOCTORAL RESEARCHER

UTSW invites applications for a Postdoctoral Fellow in Bayesian Biostatistics. The fellow will contribute to both applied and methodological research involving Bayesian methods for multicenter clinical trials, with a particular focus on phase III studies in trauma, trauma resuscitation, and traumatic brain injury.

This position is suited to a recent PhD graduate who is interested in developing a research program at the intersection of Bayesian methodology and collaborative clinical-trial research. The fellow will work closely with biostatisticians, clinical investigators, trial leadership, and multidisciplinary research teams involved in large, multicenter studies.

Research activities

The fellow's work will include:

  • Conducting statistical analyses of multicenter clinical-trial data.

  • Developing statistical analysis plans, including specification of estimands, prior distributions, analysis populations, missing-data methods, interim analyses, and sensitivity analyses.

  • Contributing to the design, conduct, monitoring, and reporting of phase III clinical trials.

  • Developing and evaluating Bayesian methods relevant to multicenter trials.

  • Conducting simulation studies to assess type I error, power, bias, interval coverage, operating characteristics, and robustness to prior-data conflict.

  • Preparing manuscripts, abstracts, presentations, technical reports, and grant applications.

  • Collaborating with clinicians and investigators in trauma, trauma resuscitation, and traumatic brain injury research.

Methodological projects may include, but are not limited to:

  • Bayesian borrowing of historical or external information.

  • Dynamic and robust borrowing methods.

  • Hierarchical models for multicenter studies.

  • Commensurate, mixture, power, and meta-analytic predictive priors.

  • Bayesian approaches to phase III confirmatory trials.

  • Bayesian interim monitoring and adaptive trial methods.

  • Modeling treatment-effect heterogeneity across centers or patient subgroups.

  • Methods for ordinal, longitudinal, survival, and competing-risk outcomes.

  • Sensitivity analyses for prior specification, missing data, and departures from modeling assumptions.

The fellow will have opportunities to lead methodological and applied manuscripts, present findings at national scientific meetings, and participate in the development of grant proposals and future clinical-trial protocols.

Appointment and mentorship

The fellow will receive mentorship in:

  • Bayesian methodology development.

  • Statistical leadership in multicenter clinical trials.

  • Collaborative biostatistics.

  • Manuscript and grant preparation.

  • Development of an independent research program.

The initial appointment will be for one year.

Required qualifications

Applicants should have:

  • A PhD in biostatistics, statistics, or a closely related quantitative field, completed recently-typically within the past one to two years-or expected before the position start date.

  • Formal training in Bayesian statistical methods.

  • Strong programming skills in R.

  • Experience with statistical simulation and reproducible data analysis.

  • A strong foundation in statistical inference, regression modeling, and clinical-trial methodology.

  • The ability to communicate statistical concepts effectively to both quantitative and clinical collaborators.

  • Strong scientific writing and organizational skills.

  • An interest in conducting both applied and methodological research.

Preferred qualifications

Preferred experience includes one or more of the following:

  • Bayesian hierarchical modeling or Bayesian borrowing methods.

  • Clinical-trial design or analysis.

  • Development of statistical analysis plans.

  • Multicenter or cluster-structured data.

  • Stan, RStan, cmdstanr, JAGS, NIMBLE, or other Bayesian computing platforms.

  • Longitudinal, ordinal, time-to-event, or competing-risk methods.

  • Analysis of trauma, emergency medicine, critical care, or neurological outcomes.

  • Preparation of peer-reviewed manuscripts or collaborative grant proposals.

Prior experience in trauma research is not required. Applicants with strong Bayesian training and an interest in clinical-trial applications are encouraged to apply.

Interested individuals should send a CV and a list of three references to:

Stacia DeSantis


Stacia.Desantis@UTSouthwestern.edu

UTSouthwestern Medical Center is committed to an educational and working environment that provides equal opportunity to all members of the University community. Asan equal opportunity employer, UT Southwestern prohibits unlawful discrimination, including discrimination on the basis ofrace, color, religion, national origin, sex,sexual orientation, gender identity, gender expression,age, disability, genetic information, citizenship status, or veteran status.

This position is security-sensitive and subject to Texas Education Code 51.215, which authorizes UT Southwestern to obtain criminal history record information.

Appointment rank will be commensurate with academic accomplishment and experience. Consideration may be given to applicants seeking less than a full-time schedule.

To learn more about the benefits UT Southwestern offers, visithttps://www.utsouthwestern.edu/employees/hr-resources/

Benefits
    UT Southwestern is proud to offer a competitive and comprehensive benefits package to eligible employees. Our benefits are designed to support your overall wellbeing, and include:
    • PPO medical plan, available day one at no cost for full-time employee-only coverage
    • 100% coverage for preventive healthcare - no copay
    • Paid Time Off, available day one
    • Retirement Programs through the Teacher Retirement System of Texas (TRS)
    • Paid Parental Leave Benefit
    • Wellness programs
    • Tuition Reimbursement
    • Public Service Loan Forgiveness (PSLF) Qualified Employer
    • Learn more about these and other UTSW employee benefits!

What UT Southwestern employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply