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Bayesian Statistics Jobs (NOW HIRING)

INSPYR Solutions

Data Analyst

Almont, CO · On-site

$70 - $73/hr

Determine appropriate statistical tests (t-tests, chi-square, ANOVA, non-parametric alternatives, sequential testing, Bayesian methods) based on data characteristics and business context. * Calculate ...

INSPYR Solutions

Data Analyst

Orlando, FL · On-site

$70 - $73/hr

Determine appropriate statistical tests (t-tests, chi-square, ANOVA, non-parametric alternatives, sequential testing, Bayesian methods) based on data characteristics and business context. * Calculate ...

Jobtailor

Senior Director, Biostatistics

Cambridge, MA · On-site

$150 - $190/hr

Advanced knowledge of statistical methods in clinical study designs (adaptive, Bayesian), statistical analysis methods including Bayesian method, missing data imputation, multiplicity adjustment

Swish Analytics

NFL Data Scientist

San Francisco, CA · On-site +1

$140K/yr

Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods * 5+ years of demonstrated experience developing and delivering ...

Swish Analytics

Soccer Data Scientist

San Francisco, CA · On-site +1

$130K/yr

Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods * 5+ years of demonstrated experience developing and delivering ...

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How much do bayesian statistics jobs pay per year?

As of Aug 1, 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 type of statistician makes the most money?

Senior statisticians with expertise in Bayesian methods, data science, or machine learning tend to earn higher salaries, especially in industries like finance, technology, and pharmaceuticals. Advanced skills, certifications, and experience with programming tools such as R or Python can also increase earning potential.

What industries use Bayesian statistics?

Bayesian statistics is widely used across industries such as healthcare, finance, marketing, and technology for data analysis, predictive modeling, and decision-making. Professionals in these fields often utilize statistical software like R or Python and require strong analytical skills to interpret probabilistic models effectively.

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 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. Familiarity with statistical software and programming languages such as R or Python is often required.
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 July 2026, with employment types broken down into 83% Full Time, 6% Part Time, and 11% Contract. Highlights an 61% In-person, 6% Hybrid, and 33% Remote job distribution, with an average salary of $90,119 per year, or $43.3 per hour.

Senior Associate, Advanced Analytics, Meta-Analysis

Parexel

House, NM

Other

Re-posted 23 days ago

Parexel rating

8.2

Company rating: 8.2 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

29th of 72 rated research

Job description

When our values align, there's no limit to what we can achieve.
At Parexel, we all share the same goal - to improve the world's health. From clinical trials to regulatory, consulting, and market access, every clinical development solution we provide is underpinned by something special - a deep conviction in what we do.

Each of us, no matter what we do at Parexel, contributes to the development of a therapy that ultimately will benefit a patient. We take our work personally, we do it with empathy and we're committed to making a difference.

Skills, Experience and Qualifications you will need to be considered for this role;

A Master's or Doctoral-level degree in applied statistics, health economics, and related quantitative fields.

A minimum of 3 years of hands-on experience working in the pharmaceutical industry, a consultancy, Access/HTA/reimbursement agency, or academic institution (pharma affiliate experience is a plus).

Demonstrate in-depth knowledge of Access and HTA, clinical research and development methods, and international payer evidence requirements.

Skilled in research design and statistical methods, such as Generalized Linear Models, Survival analysis, Network Meta-Analysis, and Bayesian statistics and are proficient in R and GitLab (experience with SAS, Python, WinBUGS, JAGS, or other relevant statistical software is a plus).

Strong strategic, collaboration, and communication skills, strong organization, planning, and prioritization skills with an ability to meet tight deadlines, and strong written and verbal communication skills in English.

Some of the key KPA's of this role include the following;

Provide expert input into the design of clinical development programs to ensure Access/HTA evidence needs are considered within global development and commercialization strategies.

Identify evidence gaps, possible data sources, and design and implement robust evidence-generation plans.

Ensure Access/HTA evidentiary activities are strategically aligned with other functions within Global Access and the wider organization (affiliates, Product Development, commercial, etc.).

Plan and conduct statistical analyses on clinical trials and other relevant data sources, and develop supportive technical documentation for statistical analyses and economic models.

Interpret and communicate the findings of analyses and work closely with affiliates to incorporate global statistical and health economics input into their local reimbursement applications.

Lead or contribute to cross-functional teams within a matrix structure, and actively contribute to the development of methodologies and continuous improvement within the Evidence Chapter.

Keep up to date with the changing Access/HTA landscape and academic research to ensure current access trends and methodologies are incorporated into evidentiary plans and build relationships with relevant external statistics, health economics, Access/HTA, and policy experts

What Parexel employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About PAREXEL

Sourced by ZipRecruiter

Bring your Data Management expertise to Parexel's Strategic Partnerships. Although we work globally, each partnership we form is deeply personal. We are as dedicated to every aspect of our client's product development as they are - and work closely with client teams in true partnership to understand both challenges and opportunities. At Parexel we are focused on meeting customer and patient needs through collaborative partnership so that we get treatments into the hands of patients who need them most.

Industry

Pharmaceutical and medicine manufacturing

Company size

10,000+ Employees

Headquarters location

Waltham, MA, US

Year founded

1983

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