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Bayesian Jobs in Illinois (NOW HIRING)

Argonne National Laboratory

Data Scientist

Lemont, IL · On-site

$94 - $181/hr

Familiarity with both Bayesian and frequentist statistical concepts and methods * Experience applying statistical concepts to detection/classification problems To perform the essential functions of ...

AbbVie

Director, Payer Contract Analytics - NECS

Mettawa, IL

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

With a focus on all traditional payer channels as well as emerging disruptive channels, you will ensure that pricing and contracting strategies are executed through sophisticated Bayesian and other ...

NORC at the University of Chicago

Statistician III

Chicago, IL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Bayesian analysis, assessing data quality, data visualization for analyzing and interpreting data, and developing approaches using artificial intelligence (AI)  that support NORC's research. The ...

AbbVie

Director, Payer Contract Analytics - NECS

Mettawa, IL · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

With a focus on all traditional payer channels as well as emerging disruptive channels, you will ensure that pricing and contracting strategies are executed through sophisticated Bayesian and other ...

AbbVie

Director, Payer Contract Analytics - NECS

Mettawa, IL · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

With a focus on all traditional payer channels as well as emerging disruptive channels, you will ensure that pricing and contracting strategies are executed through sophisticated Bayesian and other ...

Argonne National Laboratory

Data Scientist

Lemont, IL · On-site

$116K - $181K/yr

Familiarity with both Bayesian and frequentist statistical concepts and methods * Experience applying statistical concepts to detection/classification problems * To perform the essential functions of ...

Ulta Beauty, Inc.

Sr Demand Planner

Bolingbrook, IL · On-site

$102K - $125K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Proven track record of driving demand planning improvements and optimizing inventory strategies, knowledge of demand forecasting models ( e.g., Time Series, Bayesian, etc.) * Advanced proficiency in ...

Koch Industries

Simulation R&D Engineer

Lisle, IL · On-site

$90K - $120K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Background in reduced-order modeling (ROM), surrogate modeling, or Bayesian calibration, with experience in integrating these approaches into simulation workflows. * Familiarity with CAD/CAE ...

Simplex Trading

Volatility Trader

Chicago, IL · On-site

$150K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Strong practical foundation in options theory and Bayesian statistics/probability. * Strong analytical judgment under uncertainty; able to operate decisively under constraints. * Precise technical ...

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Showing results 41-60

All JobsBayesian JobsBayesian Jobs in Illinois

Bayesian information

See Illinois salary details

$131.2K

$140.4K

$150.5K

How much do bayesian jobs pay per year?

As of Aug 16, 2026, the average yearly pay for bayesian in Illinois is $140,396.00, according to ZipRecruiter salary data. Most workers in this role earn between $136,009.00 and $144,784.00 per year, depending on experience, location, and employer.

What are the typical projects or challenges faced in a Bayesian role?

In a Bayesian role, you’ll often work on projects involving probabilistic modeling, uncertainty quantification, and predictive analytics for real-world decision-making. Common challenges include structuring prior distributions, ensuring computational efficiency for complex models, and clearly explaining Bayesian results to non-technical stakeholders. You might collaborate closely with data engineers, domain experts, and business analysts to refine models and translate findings into actionable recommendations. This role offers the opportunity to tackle diverse analytical problems across industries like healthcare, finance, or tech, supporting ongoing professional growth and learning.

What is a Bayesian?

A Bayesian job typically involves applying Bayesian statistics, probabilistic modeling, and inference techniques to analyze data and make decisions under uncertainty. Professionals in this field use Bayes' theorem to update beliefs based on new evidence, often working in areas like machine learning, finance, healthcare, and research. Common roles include Bayesian statisticians, data scientists, and researchers who build probabilistic models to improve predictions and decision-making.

What jobs use Bayesian statistics?

Jobs that use Bayesian statistics include data scientists, statisticians, machine learning engineers, and quantitative analysts. These roles often involve developing probabilistic models, updating beliefs with new data, and using tools like R or Python for analysis. Bayesian methods are common in fields such as finance, healthcare, and research for decision-making and predictive modeling.

What are the key skills and qualifications needed to thrive in a Bayesian role, and why are they important?

To thrive as a Bayesian (typically a Bayesian Data Scientist or Statistician), you need a strong background in probability theory, statistical modeling, and mathematics, often with an advanced degree in statistics, data science, or a related quantitative field. Experience with programming languages such as Python or R, Bayesian analysis libraries (e.g., Stan, PyMC), and familiarity with statistical software are commonly required. Analytical thinking, collaborative teamwork, and the ability to communicate complex results clearly are valuable soft skills in this role. These abilities are essential for designing robust models, interpreting data accurately, and delivering actionable insights to interdisciplinary teams.

What are the most commonly searched types of Bayesian jobs in Illinois?

The most popular types of Bayesian jobs in Illinois are:

What are popular job titles related to Bayesian jobs in Illinois?

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

What job categories do people searching Bayesian jobs in Illinois look for?

The top searched job categories for Bayesian jobs in Illinois are:

What cities in Illinois are hiring for Bayesian jobs?

Cities in Illinois with the most Bayesian job openings:

Bayesian jobs near you
Infographic showing various Bayesian job openings in Illinois as of August 2026, with employment types broken down into 80% Full Time, 18% Part Time, and 2% Contract. Highlights an 63% Physical, 3% Hybrid, and 34% Remote job distribution, with an average salary of $140,396 per year, or $67.5 per hour.

Senior Biostatistician

Loyola University Chicago

Chicago, IL • On-site

Full-time

Re-posted 8 days ago

Job description

Position Details
Position Details
Job Title
Sr. Biostatistician
Position Number
8151034
Work Modality
Fully Remote Work
Is this request for the creation of a new Position (or the modification of an existing Position) to temporarily support the WorkDay ERP?
No
Job Category
University Staff
Job Type
Full-Time
FLSA Status
Exempt
Campus
Maywood-Health Sciences Campus
Department Name
PUBLIC HEALTH SCIENCES
Location Code
PUBLIC HEALTH SCIENCES (06250A)
Is this split and/or fully grant funded?
Yes
Duties and Responsibilities
We have an immediate opening for a Senior Biostatistician position in Dr. Qeadan's research team in the Public Health Sciences Department within the Parkinson School of Health Sciences and Public Health. We are seeking an experienced biostatistician with expertise in electronic health record (EHR) data, advanced statistical methods, and SAS and R programming to lead and support clinical and public health research projects. This role involves providing statistical leadership in study design, EHR data management and analysis, manuscript preparation, grant development, and collaborative research initiatives.
Training and Experience:
  • Demonstrated experience serving as the lead biostatistician on research studies and multidisciplinary projects.
  • Required experience working directly with electronic health record (EHR) data, including extraction, transformation, cleaning, validation, and creation of research-ready analytic datasets.
  • Experience developing patient cohorts, derived variables, and computable phenotypes using diagnosis, procedure, laboratory, medication, and encounter data.
  • Experience supporting observational research using EHR-derived real-world data (RWD), clinical data warehouses, or healthcare data repositories.
  • Experience mentoring and providing methodological guidance to biostatisticians, analysts, researchers, and trainees.

Statistical Expertise
Formal training in probability theory, mathematical statistics, linear models, and categorical data analysis. Expertise in multiple advanced statistical methodologies, including several of the following:
  • Survival analysis
  • Hierarchical and mixed-effects models
  • Clinical trial design and analysis
  • Structural equation modeling
  • Bayesian data analysis
  • Multivariate statistical methods
  • Longitudinal data analysis
  • Causal inference methods
  • Demonstrated ability to select and apply appropriate statistical methodologies to complex clinical, public health, and observational research questions.

Technical Skills
  • Advanced proficiency in SAS and R, including development of custom SAS macros, R functions, and automated analytical workflows.
  • Demonstrated ability to develop well-documented, reproducible, and quality-controlled statistical code.
  • Experience implementing reproducible research practices and statistical programming standards.
  • Knowledge of healthcare coding systems and terminologies, including ICD-9/ICD-10, CPT/HCPCS, LOINC, RxNorm, and/or SNOMED CT.
  • Familiarity with clinical data warehouse environments and common healthcare data models.

Communication and Leadership Skills
  • Exceptional written and verbal communication skills, including the ability to communicate complex statistical concepts and findings to technical and non-technical audiences.
  • Demonstrated ability to prepare statistical reports, technical summaries, and presentations for investigators, stakeholders, sponsors, and funding agencies.
  • Strong scientific writing skills with a track record of contributing to peer-reviewed publications, grant applications, and research reports.
  • Ability to independently manage multiple projects, prioritize competing deadlines, and provide strategic statistical leadership.
  • Proven ability to work collaboratively in multidisciplinary research environments while maintaining professionalism, confidentiality, and scientific rigor.

Responsibilities
  • Serve as the lead biostatistician on assigned projects and provide statistical leadership throughout the research lifecycle.
  • Provide subject matter expertise and methodological consultation to other biostatisticians, analysts, investigators, and research staff.
  • Lead statistical and methodological design considerations for grant applications.
  • Prepare statistical reports, analytic summaries, and research deliverables for investigators, sponsors, and stakeholders.
  • Collaborate on the writing, reviewing, and editing of manuscripts for publication in peer-reviewed journals, as well as the preparation of grants.
  • Develop advanced statistical programming solutions, including SAS macros, R functions, and reproducible analytic workflows.

Minimum Education and/or Work Experience
Required Education: Master's degree and a minimum of 15 years of experience.
  • Preferred Education: PhD and a minimum of 5 years of experience.
  • Field of study: Biostatistics, Statistics, Epidemiology, Data Science, Public Health, Health Informatics, or a related quantitative field.

Required Experience:
• 3-5 years of experience as a collaborating statistician
Preferred:
• 6-10 years of experience as a collaborating statistician
• Past experience obtaining external funding as Co-I or study biostatistician
Qualifications
  • Master's degree in Biostatistics, Statistics, Epidemiology, Data Science, Public Health, Health Informatics, or a related quantitative field required; Ph.D. preferred. Candidates with a Master's degree should have a minimum of 15 years of clinical or health-related research experience. Candidates with a Ph.D. should have a minimum of 5 years of clinical or health-related research experience.
  • The ideal candidate will possess exceptional analytical, leadership, and communication skills, with demonstrated expertise in biostatistical methods, clinical and public health research, and electronic health record (EHR)-based research. The successful candidate will have experience leading statistical aspects of research projects, collaborating with multidisciplinary teams, and contributing to externally funded research initiatives.

Certificates/Credentials/Licenses
Master's degree and a minimum of 15 years of experience. PhD (preferred) and a minimum of 5 years of experience. Field of study: Biostatistics, Statistics, Epidemiology, Data Science, Public Health, Health Informatics, or a related quantitative field.
Computer Skills
Advanced proficiency in SAS and R, including development of custom SAS macros, R functions, and automated analytical workflows.
Proficiency with Microsoft Office Suite, including Word, Excel, PowerPoint, and Outlook.
Supervisory Responsibilities
No
Required operation of university owned vehicles
No
Does this position require direct animal or patient contact?
No
Physical Demands
None
Working Conditions
None
Open Date
06/10/2026
Close Date
Position Maximum Salary or Hourly Rate
$100,000/ann
Position Minimum Salary or Hourly Rate
$90,000/ann
Special Instructions to Applicants
As a Jesuit, Catholic institution of higher education, we seek candidates who will contribute to our strategic plan to deliver a Transformative Education in the Jesuit tradition. To learn more about Loyola University Chicago's mission, candidates should consult our website at www.luc.edu/mission/. For information about the university's focus on transformative education, they should consult our website at www.luc.edu/transformativeed.
About Loyola University Chicago
Founded in 1870, Loyola University Chicago is one of the nation's largest Jesuit, Catholic universities, recognized for its academic excellence, commitment to community engagement, and leadership in sustainability. A Carnegie R1 research institution, Loyola leverages its status as one of an elite group of universities with the highest level of research activity to advance knowledge that serves communities and creates global impact. With 15 schools, colleges, and institutes-including Business, Law, Medicine, Nursing, and Health Sciences-Loyola operates three primary campuses in the greater Chicago area and one in Rome, Italy, that provide students a transformative, globally connected learning experience. Consistently ranked among the nation's top universities by U.S. News & World Report, Loyola is a STARS Gold-rated institution that is ranked as one of the country's most sustainable campuses by The Princeton Review and has earned distinctions from AmeriCorps and the Carnegie Foundation for its longstanding record of service and community engagement. Guided by its Jesuit mission and commitment to caring for the whole person, Loyola educates ethical leaders who think critically, act with purpose, and strive to create a more just and sustainable world.
Loyola University Chicago strives to be an employer of choice by offering its staff and faculty a wide array of affordable, comprehensive, and competitive benefits. To view our benefits in detail, click here.
Loyola adheres to all applicable federal, state, and/or local civil rights laws and regulations prohibiting discrimination in private institutions of higher education. Please see the University's Nondiscrimination Policy.
Quick Link for Posting
https://www.careers.luc.edu/postings/35277

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