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Bayesian Research Jobs (NOW HIRING)

Bayesian Data Scientist

Cambridge, MA ยท On-site

$90K - $210K/yr

MORSE is searching for an experienced Data Scientist with expertise in Bayesian statistics ... Research and identify new methods, from statistical techniques to AI-powered analyses, that analyze ...

Research Scientist - Simplex

Emeryville, CA ยท On-site

$140K - $200K/yr

We are also hiring for a Senior Research Scientist position. Who We're Looking For We're looking ... Bayesian belief updating over hidden states of a world model. Even when trained on simple token ...

Signal Processing Research Scientist

Arlington, VA ยท On-site

$133K - $164K/yr

Estimation techniques including Bayesian and non-Bayesian estimators, performance measures such as ... Skillset to tackle research challenges proactively with minimal supervision and periodic check-ins ...

The Urbut Lab has a unique research fellow position open for a highly qualified applicant interested in dynamic modeling using multimodal data and causal inference for Bayesian analysis of EHR across ...

The Urbut Lab has a unique research fellow position open for a highly qualified applicant interested in dynamic modeling using multimodal data and causal inference for Bayesian analysis of EHR across ...

Showing results 21-40

Bayesian Research information

What is Bayesian research?

Bayesian research refers to the use of Bayesian statistics and probability theory to analyze data, build predictive models, and support decision-making. Unlike traditional (frequentist) methods, Bayesian approaches incorporate prior knowledge or beliefs, updating them as new evidence becomes available. This makes Bayesian research particularly useful in fields where data is limited or uncertain, and it allows for more flexible and interpretable models. Bayesian research is widely used in fields like machine learning, medicine, economics, and social sciences.

What types of projects do Bayesian researchers typically work on?

Professionals in Bayesian Research often engage in projects involving statistical modeling, data analysis, and the development of probabilistic algorithms for applications such as machine learning, healthcare analytics, finance, and engineering. The work environment is highly collaborative, frequently requiring interaction with data scientists, domain experts, and software engineers to translate theoretical models into practical solutions. Team members regularly participate in interdisciplinary meetings to discuss model assumptions, share findings, and iterate on research approaches, making strong communication skills essential for success in this role.

What are the key skills and qualifications needed to thrive as a Bayesian researcher?

To thrive as a Bayesian Researcher, you need a strong background in statistics, probability theory, and data analysis, usually supported by an advanced degree in statistics, mathematics, or a related field. Proficiency with programming languages such as R or Python, statistical software (e.g., Stan or BUGS), and knowledge of Bayesian modeling techniques is essential. Strong problem-solving skills, critical thinking, and effective communication help you interpret results and collaborate with interdisciplinary teams. These competencies ensure rigorous, reliable research outcomes and enable impactful contributions to scientific or business decision-making.

What is the difference between Bayesian Research vs Data Scientist?

AspectBayesian ResearchData Scientist
Required CredentialsAdvanced degrees in statistics, mathematics, or related fields; knowledge of Bayesian methodsDegree in computer science, statistics, or related fields; programming skills
Work EnvironmentResearch-focused, often in academia or specialized industriesBusiness or tech environments, applying data analysis to solve practical problems
Industry UsageUsed in research, academia, and industries requiring probabilistic modelingApplied across various industries including tech, finance, healthcare

Bayesian Research primarily focuses on developing and applying Bayesian statistical methods for research purposes, often in academic or specialized settings. Data Scientists utilize a broader set of data analysis tools, including Bayesian techniques, to interpret data and inform business decisions across diverse industries.

What other helpful pages are available for Bayesian Research?

Other pages related to Bayesian Research:

Infographic showing various Bayesian Research job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 88% Full Time, 9% Part Time, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution.

Bayesian Data Scientist

Cambridge, MA โ€ข On-site

$90K - $210K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago


Job description

MORSE Corp is an employee owned, small business based in Cambridge, MA, Arlington, VA, and Seattle, WA with a history of fielding cutting-edge technology. MORSE boasts a specially selected team of scientists, engineers, and software developers to deliver best-in-class technical solutions that solve difficult multidisciplinary problems faced by the US National Security Ecosystem.
MORSE is searching for an experienced Data Scientist with expertise in Bayesian statistics, probabilistic modeling, data analysis, data science, and algorithm development in one or more of a variety of fields including generative AI, computer vision, , natural language processing, machine translation, time sequenced data, big data, and advanced metrics. You will join teams performing rigorous Test and Evaluation (T&E) of AI and machine learning systems to give national security customers insights into AI capabilities for solving real-world challenges. Your work will directly contribute to developing technologies that ensure responsible and effective AI deployments across the national security sector.
Responsibilities:
  • Perform data analysis, test and evaluation of existing machine learning algorithms, and development of advanced algorithms to model physical and autonomous systems,
  • Develop and implement advanced probabilistic models to identify limitations within AI models and enhance their explainability.
  • Work with MORSE's current team of engineers to transition algorithms to software applications and real-time embedded systems.
  • Support the transition of the developed algorithms to software using one or more programming languages such as Python, C, C++, Java, or MATLAB.
  • Work with customers, stakeholders, and other vendors to present concepts, analyses, and test results.
  • Present a path forward and solutions to solve complex data problems.
  • Research and identify new methods, from statistical techniques to AI-powered analyses, that analyze and best characterize the performance of in-development and deployed systems.
Requirements:
  • US CITIZENSHIP REQUIRED and the ability to obtain a U.S. Security Clearance
  • Masters or Ph.D in Data Science, Statistics, Computer Science, Engineering, Applied Mathematics, Physics, Physical or Biological Sciences or a related field
  • 5+ years of experience in Data Science or Analysis
  • Solid understanding of data analysis, physics, linear algebra, statistics, algorithms, optimization, and/or machine learning methods
  • Proficiency in one or more programming languages like Python, Matlab, C, or C++
  • Demonstrated experience with large, multidimensional, or complex data sets in one or more of the following areas: parsing, cleaning, storage strategies, provenance tracking, database formats, and parallelized data transformations
  • Good communication skills
  • Self-starter and driven
  • Prior experience in defense is a plus

MORSE Corp's salary range for this role carefully considers a wide range of compensation factors, including but not limited to, prior experience, education, skills and expertise, location, internal equity, and other factors that are job related and consistent with business need. Therefore, final offer amounts may vary from the amount stated. Depending on role eligibility, total compensation may also include bonus, stock, 401(k) match, paid time off, medical, dental, vision and life insurance.
Employees also receive 10 paid holidays per year. MORSE maintains an "open" leave policy that does not restrict exempt, regular full-time employees to a specific number of paid sick or vacation days. However, this policy is not an "unlimited" paid leave policy.
Compensation
$90,000-$210,000 USD
The team at MORSE takes pride in being the smart team that is easy to work with. We focus on steady, long-term success with an emphasis on exceptionalism and delivering mission-critical impact to our customers. For more information, please visit www.morsecorp.com.