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Bayesian Modeling Jobs in Michigan (NOW HIRING)

FastTek

Machine Learning Engineer

Dearborn, MI

$105K - $126K/yr

Use machine learning and statistical modeling techniques such as decision trees, logistic regression, Bayesian analysis, and deep learning methods, alongside prompt engineering, retrieval-augmented ...

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Bayesian Modeling information

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 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.

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 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.
What are popular job titles related to Bayesian Modeling jobs in Michigan? For Bayesian Modeling jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Bayesian Modeling jobs in Michigan look for? The top searched job categories for Bayesian Modeling jobs in Michigan are:
What cities in Michigan are hiring for Bayesian Modeling jobs? Cities in Michigan with the most Bayesian Modeling job openings:
Bayesian Modeling jobs near you

Research Scientist - Associate

LSU AgCenter

East Lansing, MI

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 4 days ago

Job description

All Job Postings will close at 12:01a.m. CST (1:01a.m. EST) on the specified Closing Date (if designated).If you close the browser or exit your application prior to submitting, the application progress will be saved as a draft. You will be able to access and complete the application through "My Draft Applications" located on your Candidate Home page.Job Posting Title:Research Scientist - AssociatePosition Type:Professional / UnclassifiedDepartment:LSUAM Science - BioS - Computational Evolution (Fabio Mendes (00085270))Work Location:0202 Life Sciences BuildingPay Grade:ProfessionalJob Description:

The candidate will support advanced computational research in phylogenetic inference, evolutionary modeling, and open-source scientific software development. The position will independently lead and contribute to the design, implementation, validation, and maintenance of scientific software. The candidate will develop Bayesian inference and AI-based methods and implement them, when applicable, as tested components of established research software platforms, e.g., BEAST 2, RevBayes, and related C++ or Java-based applications. The position requires specialized expertise in scientific programming, Bayesian computational, software architecture, phylogenetic methods, and collaborative research software development. The position will also contribute to preliminary analyses for grant proposals, manuscripts, documentation, tutorials, conference presentations, and technical mentoring of graduate students, postdoctoral researchers, and collaborators.

Duties Include:
65% RESEARCH: Design, implement, test, document, and maintain scientific software for Bayesian and AI-based phylogenetic and evolutionary statistical learning. Develop models, algorithms, plugins, and computational tools in open-source research software platforms, including C++ and Java-based systems. Contribute to software architecture, code quality, performance, debugging, infrastructure testing, version control workflows, reproducibility, documentation, and long-term maintainability.

20% SERVICE, TRAINING & MENTORSHIP: Provide technical leadership, mentoring, and guidance to graduate students, postdoctoral researchers, and collaborators working on computational and software-related aspects of phylogenetic research. Train group members in scientific programming, C++, Java-based research software development, Bayesian computation, software design, version control, testing, debugging, documentation, code review, and collaborative open-source development. Help establish appropriate software development practices and standards for research projects.

15% SCIENTIFIC RESEARCH PLANNING & COMMUNICATION: Contribute to peer-reviewed publications, grant-proposals, preliminary results for external funding applications, conference presentations, workshop materials, software documentation, tutorials, and other scholarly or community-facing research products.

Minimum Qualifications:
PhD in Computational Biology, Evolutionary Biology, Mathematics, Computer Science, or closely related field with 5 year experience.

Specific experience required:

(1) Demonstrated record of independently designing, implementing, validating, and maintaining scientific, statistical, or computational research software;

(2) Demonstrated expertise in Bayesian inference, phylogenetic methods, evolutionary modeling, statistical computation, or closely related computational methods;

(3) Substantial programming experience in C++, Java, or comparable languages used in scientific software development.

Preferred Qualifications:
PhD in Computational Biology, Evolutionary Biology, Mathematics, Computer Science, or closely related field with 8 years experience.

Specific experience preferred:
(1) Experience developing, maintaining, or making substantial contributions to open-source scientific software;

(2) Experience developing Bayesian phylogenetic software such as BEAST, BEAST 2, RevBayes, MrBayes (or comparable scientific software platforms), MCMC methods, probabilistic models, and high-performance scientific computing methods;

(4) Experience with collaborative software development practices, including version control, issue tracking, code review, testing, debugging, continuous integration, documentation, and software release workflows.

Job competencies:
Proficient in Programming in C++, Java, or comparable language used in scientific software development; Implementing and testing high-performance statistical inference algorithms in large software platforms; Documenting and maintaining large computational methods code bases, as well as releasing such methods to the user base; Developing methods, algorithms and models for use in evolutionary biology, with a focus on phylogenetic inference.

Advanced in Mentoring and providing technical support to graduate students and postdocs and

Communicating results clearly in written (manuscripts) and oral form (talks).


Additional Job Description:Special Instructions:Please submit a current CV, 3 references with contact information. An official copy of your transcript with the highest degree will be needed prior to hire. For additional information, please contact Lori Bond at lbond3@lsu.edu.

Skills Needed:

Preferred Skills:

Posting Date:July 27, 2026Closing Date (Open Until Filled if No Date Specified):August 1, 2026Additional Position Information:

Background Check - An offer of employment is contingent on a satisfactory pre-employment background check.

Benefits - LSU offers outstanding benefits to eligible employees and their dependents including health, life, dental, and vision insurance; flexible spending accounts; retirement options; various leave options; paid holidays; wellness benefits; tuition exemption for qualified positions; training and development opportunities; employee discounts; and more!

Positions approved to work outside the State of Louisiana shall be employed through Louisiana State University's partner, nextSource Workforce Solutions, for Employer of Record Services including but not limited to employment, benefits, payroll, and tax compliance. Positions employed through Employer of Record Services will be offered benefits and retirement as applicable through their provider and will not be eligible for State of Louisiana benefits and retirement.

Essential Position (Y/N):LSU is an Equal Opportunity Employer.

All candidates must have valid U.S. work authorization at the time of hire and maintain that valid work authorization throughout employment. Changes in laws, regulations, or government policies may impact the university's ability to employ individuals in certain positions.

HCM Contact Information:

For questions or concerns related to updating your application with attachments (e.g., resumes, RS:17 documents), date of birth, or reactivating applications, please contact the LSU Human Resources Management Office at 225-578-8200 or email HR@lsu.edu. For questions or concerns regarding the status of your application or salary ranges, please contact the department using the information provided in the Special Instructions section of this job posting.

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