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Bayesian Statistics Jobs in Texas (NOW HIRING)

MD Anderson

Postdoctoral Fellow - Biostatistics

Houston, TX · On-site +1

$64K - $76K/yr

The primary research focus will be on developing novel statistical methodologies and software for Bayesian adaptive clinical trial designs. The postdoctoral fellow will also actively participate in ...

MD Anderson

Postdoctoral Fellow - Biostatistics

Houston, TX · On-site +1

$64K - $76K/yr

The primary research focus will be on developing novel statistical methodologies and software for Bayesian adaptive clinical trial designs. The postdoctoral fellow will also actively participate in ...

MD Anderson

Postdoctoral Fellow - Biostatistics

Houston, TX · On-site +1

$64K - $76K/yr

The primary research focus will be on developing novel statistical methodologies and software for Bayesian adaptive clinical trial designs. The postdoctoral fellow will also actively participate in ...

Varsity Tutors

Statistics Graduate Level Tutor

Irving, TX · 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

Plano, TX · 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

Bryan, TX · 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

Houston, TX · Remote

$18 - $40/hr

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

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How much do bayesian statistics jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for bayesian statistics in Texas is $13.23, according to ZipRecruiter salary data. Most workers in this role earn between $13.22 and $13.22 per hour, depending on experience, location, and employer.

What is Bayesian statistics?

A Bayesian Statistics job involves using Bayesian methods to analyze data, update probabilities, and make inferences based on prior knowledge. Professionals in this field apply Bayesian techniques in areas like machine learning, finance, healthcare, and scientific research. They typically work with probabilistic models, statistical software, and programming languages such as Python or R. These roles require strong mathematical skills and are often found in academia, industry, and government research.

What does a typical day look like for someone working in Bayesian statistics?

A typical day for a professional specializing in Bayesian Statistics often involves designing and running statistical models, analyzing datasets using Bayesian methods, and programming in tools like R or Python. You may collaborate with data scientists, researchers, and subject matter experts to define problems and interpret statistical results. Responsibilities can also include presenting findings to non-technical stakeholders, developing new modeling techniques, and staying updated with advances in Bayesian methodology. The role offers a dynamic mix of technical analysis, problem-solving, and teamwork, making each day intellectually engaging.

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

To thrive in Bayesian Statistics, you need a deep understanding of probability theory, statistical modeling, and strong programming skills, usually supported by an advanced degree in statistics, mathematics, or a related field. Familiarity with technical tools like R, Python, Stan, and software for Bayesian inference, as well as relevant certifications, is often required. Analytical thinking, attention to detail, and the ability to clearly communicate complex concepts are essential soft skills. These skills and qualities ensure accurate and interpretable statistical analyses, effective collaboration with cross-functional teams, and reliable data-driven decision making.

What can you do with Bayesian statistics?

A professional in Bayesian statistics applies probabilistic models to analyze data, make predictions, and update beliefs based on new information. This skill is used in fields like data science, machine learning, and research to improve decision-making and model uncertainty. Proficiency in statistical software such as R or Python is often required.

What is a Bayesian statistician?

A Bayesian statistician is a professional who applies Bayesian methods to analyze data, update probabilities, and make statistical inferences. They often use tools like statistical software and require strong knowledge of probability theory and modeling techniques to interpret data within a Bayesian framework.

What jobs use Bayesian statistics?

Jobs that use Bayesian statistics include data scientists, statisticians, machine learning engineers, and quantitative analysts. These roles often involve developing probabilistic models, analyzing data, and making predictions using Bayesian methods and tools like R or Python. Strong analytical skills and knowledge of statistical software are typically required.

What are popular job titles related to Bayesian Statistics jobs in Texas?

For Bayesian Statistics jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Bayesian Statistics jobs in Texas look for?

The top searched job categories for Bayesian Statistics jobs in Texas are:

Bayesian Statistics jobs near you
Infographic showing various Bayesian Statistics job openings in Texas as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $27,518 per year, or $13.2 per hour.

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

University Of Texas Southwestern Medical Cent (The

Dallas, TX • On-site

Full-time

Medical, Retirement, PTO

Posted 10 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 891 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!

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