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Bayesian Statistics Jobs (NOW HIRING)

Mercor

Bayesian Statistics Expert - PhD

San Francisco, CA · Remote

$70 - $100/hr

STEM Computational Scientific Software & Evaluation Design - Computational Bayesian Statistics and Applied Mathematics Type: Contract Compensation: $70-$100/hour Location: Remote Commitment: 15-20 ...

Lilly

Research Advisor - Statistics

Indianapolis, IN · On-site

We are playing a leading role in transforming the way the company develops medicines using state-of-the-art methods in adaptive designs, Bayesian statistics, causal inference, genetic/biomarker ...

Exponent

Statistical Scientist (Ph.D.)

Bellevue, WA · On-site

... Bayesian statistics, machine learning, or quality control/improvement • Minimum of 2 years' experience with one or more statistical software packages (SAS and R are preferred) • Ability to work ...

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 ...

Wood Plc

Environmental Statistician

Kennesaw, GA · On-site +1

Experience with Bayesian statistics a plus * Experience with censored datasets a plus * Master's degree or PhD a plus * Must pass drug test, physical, background check, and must have a satisfactory ...

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 ...

Walmart

(USA) Senior Manager, Data Science

Centerton, AR · On-site

$110K - $220K/yr

This role focuses on developing a state-of-the-art, probabilistic Media Mix Model (MMM) powered by Bayesian statistics and streamlined through innovative Agentic AI workflows. What you'll do.

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How much do bayesian statistics jobs pay per year?

As of Jun 20, 2026, the average yearly pay for bayesian statistics in the United States is $90,119.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,500.00 and $106,500.00 per year, depending on experience, location, and employer.

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 is a Bayesian Statistics job?

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 is a Bayesian statistician?

A Bayesian statistician is a professional who applies Bayesian methods to analyze data, update probabilities, and make inferences. They often use statistical software and require strong mathematical skills to develop models that incorporate prior knowledge and evidence.

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 can develop probabilistic models to analyze data, make predictions, and update beliefs based on new information. These skills are valuable in fields like data science, machine learning, and research, often using tools such as R or Python. Bayesian methods support decision-making under uncertainty and are applicable in various industries including healthcare, finance, and technology.

Is Bayesian statistics difficult?

Bayesian statistics as a job involves understanding probability models and applying statistical software like R or Python. It can be challenging initially due to its mathematical concepts, but with practice and training, it becomes manageable for those with a background in mathematics or data analysis.
More about Bayesian Statistics jobs
What are the most commonly searched types of Bayesian Statistics jobs? The most popular types of Bayesian Statistics jobs are:
What states have the most Bayesian Statistics jobs? States with the most job openings for Bayesian Statistics jobs include:
What job categories do people searching Bayesian Statistics jobs look for? The top searched job categories for Bayesian Statistics jobs are:
Bayesian Statistics jobs near you
Infographic showing various Bayesian Statistics job openings in the United States as of June 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $90,119 per year, or $43.3 per hour.

Bayesian Statistics Expert - PhD

Mercor

San Francisco, CA • Remote

$70 - $100/hr

Full-time

Posted 10 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: STEM Computational Scientific Software & Evaluation Design - Computational Bayesian Statistics and Applied Mathematics
Type: Contract
Compensation: $70–$100/hour
Location: Remote
Commitment: 15–20 hours/week

Role Responsibilities

  • Design graduate-level computational problems using domain-specific scientific software libraries such as PyMC, PyStan, FEniCS, and GUDHI.
  • Develop problems that require strategic reasoning, including designing sequences of queries or experiments to uncover hidden information.
  • Calibrate tasks against state-of-the-art AI models and refine problem designs to achieve target difficulty levels.
  • Collaborate independently and asynchronously to iterate on problem designs based on calibration feedback.
  • Utilize strong Python programming skills to write problem setups, oracle functions, and solution validators.
  • Work comfortably in a Linux/terminal environment with remote compute sandboxes.

Qualifications

Must-Have

  • Graduate-level training in a relevant STEM domain (MS, PhD, or equivalent research experience).
  • Proficiency with at least one scientific software library such as PyMC, FEniCS, or GUDHI.
  • Strong Python programming skills.
  • Ability to work independently and iterate on problem designs.
  • Comfortable in a Linux/terminal environment.

Preferred

  • Experience across multiple listed domains or tools.
  • Familiarity with benchmark or evaluation design.
  • Background in scientific pedagogy or exam/problem-set design.
  • Experience with computational reproducibility and containerized environments.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.