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Bayesian Modeling Jobs in Kentucky (NOW HIRING)

$60K - $98K/yr

Develop and implement advanced statistical models, including Bayesian hierarchical models, regression, survival analysis, and longitudinal data analyses techniques. * Collaborate with ...

$67K - $92K/yr

Demonstrated success combining experimental data with modeling and AI to guide discovery or development.* Experience with design-of-experiments (DoE), optimization, or Bayesian methods.* Familiarity ...

$175K - $308K/yr

Experience designing experiments to understand how foundation models work. * Knowledge of Bayesian statistical methods and how they are used for scientific inference. Preferred Qualifications

$182K - $228K/yr

Background in structural modeling, market design, dynamic programming, or advanced statistical methods (hierarchical models, time-series forecasting, survival analysis, Bayesian inference, synthetic ...

$152K - $217K/yr

... statistical modeling * SQL for large-scale data transformation and analysis * GLMs and tree-based methods/GBMs (e.g., H2O, XGBoost, LightGBM); familiarity with clustering, Bayesian methods ...

Familiarity with inverse problems, physics-informed ML, Bayesian methods, uncertainty quantification, or digital-twin modeling. * Experience moving research or prototype code into scalable, tested ...

$77K - $105K/yr

Deep learning frameworks such as TensorFlow, Keras, PyTorch, Time series analysis, anomaly detection, forecasting, predictive modeling, graph- based neural networks, Bayesian statistics, and text ...

Deep experience with causal or econometric methods to model the business impact of false positives on legitimate user traffic. * Experience implementing Bayesian calibration techniques for handling ...

A strong knowledge of advanced statistical methods, Bayesian learning, pattern recognition, outlier detection, and predictive modeling methods like decision trees and random forests is essential.

$121K - $194K/yr

The role will be involved in building models and algorithms that power Moderna's research engine ... of experiments, Bayesian optimization, active learning, and other data-driven approaches to ...

Familiarity with one or more of: causal inference, survival analysis, mixed-effects models, or Bayesian methods. * Experience leading and publishing peer-reviewed publications, conference abstracts ...

$121K - $194K/yr

The role will be involved in building models and algorithms that power Moderna's research engine ... of experiments, Bayesian optimization, active learning, and other data-driven approaches to ...

$90K - $119K/yr

By bringing the expertise, technology, and business model of the 21st century's most innovative ... Experience in state estimation, including Bayesian filtering, sensor fusion, and recursive ...

By bringing the expertise, technology, and business model of the 21st century's most innovative ... Experience in state estimation, including Bayesian filtering, sensor fusion, and recursive ...

Structural equation modeling * Bayesian data analysis * Multivariate statistical methods * Longitudinal data analysis * Causal inference methods * Demonstrated ability to select and apply appropriate ...

$41 - $54.50/hr

... Bayesian Regression, and Times Series Modeling. * Experience using data with high-volume (1TB+) & high-dimensionality (500+ variables per schema), especially within a big data framework (HaDoop ...

... modeling, machine learning methods, data linkage, statistical matching, statistical disclosure limitation, small area estimation, Bayesian analysis, assessing data quality, data visualization for ...

Showing results 21-40

Bayesian Modeling information

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.

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 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.

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 popular job titles related to Bayesian Modeling jobs in Kentucky?

For Bayesian Modeling jobs in Kentucky, the most frequently searched job titles are:

What cities in Kentucky are hiring for Bayesian Modeling jobs?

Cities in Kentucky with the most Bayesian Modeling job openings:

University of Alabama at Birmingham
Colleges, Universities, and Professional Schools • 10K+ employees

$60K - $98K/yr

Other

Posted 6 days ago


University Of Alabama At Birmingham rating

7.7

Company rating: 7.7 out of 10

Based on 44 frontline employees who took The Breakroom Quiz


Job description

Job Description - BIOSTATISTICIAN (T234810)

BIOSTATISTICIAN - ( T234810 )

Description

The University of Alabama at Birmingham (UAB) is seeking a highly motivated Scientist/Statistician to join our research team. The successful candidate will lead and support advanced statistical analyses of trial and large-scale administrative datasets, including Medicare and Medicaid claims, electronic medical records (EMR), and/or other health-related data sources (e.g., UDS, NHANES, AHRF etc.). This role requires strong analytical skills, expertise in health services research, and a proven track record of scholarly publications.

The Biostatistician is a professional role that designs and implements complex statistical analyses, guides data collection processes, and collaborates closely with research teams on study design and methodology. This position requires a strong command of biostatistical techniques and the ability to make independent decisions on routine analytical issues. Is responsible for ensuring the scientific validity of statistical approaches, preparing detailed reports, and contributing to the writing of research papers and grant proposals.

Key Responsibilities:

  • Conduct rigorous statistical analyses of trial related and large administrative datasets (e.g., Medicare, Medicaid) and EMR data to address research questions in health outcomes, policy, and clinical and cost effectiveness.
  • Develop and implement advanced statistical models, including Bayesian hierarchical models, regression, survival analysis, and longitudinal data analyses techniques.
  • Collaborate with multidisciplinary teams of clinicians, epidemiologists, and data scientists to design studies and interpret findings.
  • Manage data cleaning, integration, and quality assurance processes for complex datasets.
  • Ensures the accuracy and reliability of statistical analyses and data by implementing rigorous quality control measures by providing periodic summary statistics and data visualizations.
  • Prepare manuscripts for peer-reviewed journals and contribute to grant proposals.
  • Present research findings at national and international conferences.
  • Ensure compliance with data security, privacy regulations, and institutional policies.

Salary Range: $60,835 - $98,855

Qualifications

Doctorate degree in a related field and one (1) year of related experience OR Master's degree in a related field and three (3) years of related experience OR Bachelor's degree in a related field and five (5) years of related experience required. Work experience may NOT substitute for education requirement.

UAB is an Equal Employment/Equal Educational Opportunity Institution dedicated to providing equal opportunities and equal access to all individuals regardless of race, color, religion, ethnic or national origin, sex (including pregnancy), genetic information, age, disability, and veteran's status. As required by Title IX, UAB prohibits sex discrimination in any education program or activity that it operates. Individuals may report concerns or questions to UAB's Assistant Vice President and Senior Title IX Coordinator. The Title IX notice of nondiscrimination is located at uab.edu/titleix.

Primary Location Primary Location: University Job Category Job Category: Other Organization Organization: 311300000 Family & Community Medicine Chair Office Employee Status Employee Status: Regular

Shift : Day/1st Shift

Work Arrangement (final schedule to be determined by the department/hiring manager) : Onsite

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What University Of Alabama At Birmingham employees say

Pay

Benefits

Hours and flexibility

Workplace

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University of Alabama at Birmingham logo

About University of Alabama at Birmingham

Sourced by ZipRecruiter

The University of Alabama at Birmingham is the heartbeat of Birmingham and an integral medical leader in the Southeast. The Birmingham campus is within walking distance of some of the best parks, entertainment, and dining in the region. UAB's three regional campuses expand their academic reach and responsibilities in addition to educating physicians in rural and underserved areas of the state. UAB is experiencing major and sustained investment and growth, due both to its exceptional research faculty and its culture of collaboration. Through concerted and strategic investments in its clinical and research enterprise, UAB has undergone an amazing transformation in the past five years and has strengthened its status and reputation as a leader in medical training, biomedical discovery, innovation, and patient care.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Birmingham, AL, US

Year founded

1859