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Postdoctoral In Bayesian Statistics Jobs in Plainfield, IL

Simplex Trading

Volatility Trader

Chicago, IL · On-site

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

American College of Surgeons Brand

Statistician

Chicago, IL · On-site

$75K - $85K/yr

A master's degree in statistics, biostatistics, public health, social sciences, or related field ... Coursework or experience with Bayesian statistical methods is preferred. * Familiarity with SQL and ...

Numerator

Director, Data Science

Chicago, IL · On-site

Deep expertise in statistical modeling, machine learning, and probabilistic reasoning * Strong ... Experience with Bayesian statistics, hierarchical modeling, probabilistic inference, or state-space ...

KBR

Data Science Intern

Chicago, IL

$53K - $80K/yr

Background in Bayesian networks, graph structure, probability and statistics. Desired: * Experience with large datasets * Interest in researching and developing methods for data analysis, fault mode ...

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$24.4K

$57.5K

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How much do postdoctoral in bayesian statistics jobs pay per year?

As of Sep 14, 2026, the average yearly pay for postdoctoral in bayesian statistics in Plainfield, IL is $57,529.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,800.00 and $64,800.00 per year, depending on experience, location, and employer.

What is a postdoctoral position in Bayesian statistics?

A Postdoctoral position in Bayesian Statistics is a research-focused role for individuals who have recently completed their PhD in statistics, mathematics, or a related field. These positions involve conducting advanced research using Bayesian methods, which apply probability to infer statistical conclusions. Postdocs often work on developing new Bayesian models, collaborating on interdisciplinary projects, and publishing research findings. Such positions are typically temporary and designed to further prepare researchers for academic, industry, or governmental roles.

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

To thrive as a Postdoctoral Researcher in Bayesian Statistics, you need an advanced degree (typically a PhD) in statistics or a related field, with strong expertise in Bayesian inference and probabilistic modeling. Proficiency with statistical programming languages such as R, Python, or Stan, and experience with specialized Bayesian analysis software are highly valued. Excellent problem-solving skills, collaboration, and the ability to communicate complex statistical concepts clearly are standout soft skills for this role. These skills and qualities are crucial for conducting rigorous research, publishing impactful results, and contributing effectively to scientific teams.

What are some common challenges faced by postdoctoral researchers in Bayesian statistics, and how can they be addressed?

Postdoctoral researchers in Bayesian statistics often encounter challenges such as managing complex, high-dimensional data, staying current with rapidly evolving computational methods, and balancing independent research with collaborative projects. Effective strategies include leveraging open-source statistical software, actively participating in seminars and workshops to stay updated, and establishing regular communication with interdisciplinary teams. Building a strong professional network and seeking mentorship within the department can also help in navigating research obstacles and advancing one's career.

What is the difference between Postdoctoral In Bayesian Statistics vs Postdoctoral In Data Science?

AspectPostdoctoral In Bayesian StatisticsPostdoctoral In Data Science
Required CredentialsPhD in Statistics, Mathematics, or related fieldPhD in Computer Science, Statistics, or related field
Work EnvironmentAcademic research, university labsResearch institutions, tech companies, industry labs
Employer & Industry UsageUniversities, research institutesTech firms, finance, healthcare, consulting
Common Search & Comparison IntentSpecialized research roles in Bayesian methodsBroader data analysis and machine learning roles

Postdoctoral In Bayesian Statistics focuses on advanced research in Bayesian methods within academic settings, requiring deep statistical expertise. In contrast, Postdoctoral In Data Science covers a broader range of data analysis techniques, including machine learning, often in industry environments. Both roles require a PhD but differ in application focus and work environment.

What cities near Plainfield, IL are hiring for Postdoctoral In Bayesian Statistics jobs?

Cities near Plainfield, IL with the most Postdoctoral In Bayesian Statistics job openings:

Postdoctoral In Bayesian Statistics jobs near you
Infographic showing various Postdoctoral In Bayesian Statistics job openings in Plainfield, IL as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, 1% Temporary, and 3% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $57,529 per year, or $27.7 per hour.

Volatility Trader

Chicago, IL • On-site

Simplex Trading
Finance and Insurance • 51 - 200 employees
Learn more about Simplex Tradingexternal

Full-time

Re-posted 14 days ago

Job description

Position Summary

As a Volatility Trader at Simplex, you will take an analytical approach to identifying market opportunities with favorable risk-reward profiles with the goal of generating trade ideas and enhancing our core market making pricing systems.  We expect that you have experience thinking about volatility valuation through a variety of lenses, including analysis of implied-vs-realized, term structure and event pricing, skew surface dynamics, and relative value or cross-asset relationships.  You will manage discretionary positions and work closely with our existing market making team to create systematic pricing overlays and improve hedging, risk management, and edge capture.

Key Responsibilities
  • Conduct research to identify market dislocations, mispricings, or other trading opportunities in the volatility space.
  • Monitor and manage live positions with a focus on order flow dynamics and counterparty behavior.
  • Work closely with Simplex's core market making team to develop systematic approaches to volatility valuation or pricing overlays.
  • Continuously improve the firm's toolset for volatility research, risk management, and P&L attribution.
  • Clearly communicate and document research methodology and trading decisions for collaboration and review.
Required Qualifications
  • Minimum 3-5 years of professional experience in a volatility trading/research or portfolio management role.
  • Demonstrated track record of generating and executing profitable trading ideas.
  • Strong practical foundation in options theory and Bayesian statistics/probability.
  • Strong analytical judgment under uncertainty; able to operate decisively under constraints.
  • Precise technical communication skills; able to concisely present conclusions and articulate associated inputs, assumptions, and process.
  • Sufficient technical skills to independently interface with data and prototype research ideas.

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