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Postdoctoral In Bayesian Statistics Jobs in Denver, CO

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Postdoctoral In Bayesian Statistics information

See Denver, CO salary details

$25.7K

$60.8K

$85.9K

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

As of Aug 6, 2026, the average yearly pay for postdoctoral in bayesian statistics in Denver, CO is $60,750.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,400.00 and $68,400.00 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 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 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 popular job titles related to Postdoctoral In Bayesian Statistics jobs in Denver, CO? For Postdoctoral In Bayesian Statistics jobs in Denver, CO, the most frequently searched job titles are:
What cities near Denver, CO are hiring for Postdoctoral In Bayesian Statistics jobs? Cities near Denver, CO with the most Postdoctoral In Bayesian Statistics job openings:
Infographic showing various Postdoctoral In Bayesian Statistics job openings in Denver, CO as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $60,750 per year, or $29.2 per hour.

NIST PREP Quantum Transduction Scientist

Southeastern Universities Research Association

Boulder, CO • On-site

$67K - $69K/yr

Full-time

Re-posted 25 days ago


Job description

This position is part of the National Institute of Standards and Technology (NIST) Professional Research Experience Program (PREP). NIST recognizes that its research staff may want to collaborate with researchers at academic institutions on specific projects of mutual interest and, therefore, requires those institutions to be recipients of a PREP award. The PREP program involves staff from a wide range of backgrounds conducting scientific research across various fields. Individuals in this position will perform technical work supporting the collaboration's scientific research.
Research Title: Quantum Transduction Postdoctoral Fellow
The work will entail: The Quantum Nanophotonics group has recently demonstrated hybrid systems combining semiconductor optical quantum dots (QDs) and acoustic resonators as a promising platform for quantum information processing and transmission. All aspects of this work are performed 'in house' using NIST's state-of-the-art nanofabrication, molecular beam epitaxy, and low-temperature optical spectroscopy tools. The successful candidate will help lead this project, building on recent accomplishments, towards the goal of generating remote entanglement between superconducting qubits.
U.S. Citizen Preferred
Key responsibilities will include but are not limited to:
  • Design and construct GHz frequency acoustic resonators in Gallium Arsenide.
  • Precision spectroscopy of Indium Arsenide quantum dots (QDs) embedded in acoustical resonators.
  • Epitaxial growth and nanofabrication of QD hybrid quantum systems.
  • Analyze and interpret the microwave and optical characteristics of the hybrid microwave/optical system.
  • Work as a member of a collaborative, interdisciplinary team.
  • Provide technical input to research problems which have been recognized as critical obstacles to progress in areas of exceptional interest.
  • Prepare and review journal publications, contributing important advancements to quantum optics, quantum networking, optical communications, and optical measurement techniques.
  • Attend research conferences and present technical results.

Qualifications (required)
  • Doctoral degree in Physics or closely related field.
  • Expertise in spectroscopy on optical two-level systems at cryogenic temperatures, with specific emphasis on the resonance-florescence method.
  • Expertise in growth of compound semiconductors using Molecular Beam Epitaxy.
  • Experience running and maintaining state-of-the-art nanofabrication tools.
  • Experience with optical measurement techniques such as coherent detection, confocal microscopy, laser diagnostics, noise characterization, and statistical optics.
  • Experience in cryogenic measurements at liquid Helium temperatures
  • Experience in finite-element simulation of semiconductor electro-mechanical devices.
  • Strong oral and written communication skills.
  • Ability to code with code with: MATLAB or Python.
  • Experience with maintaining and running a dilution refrigerator.

Privacy Act StatementAuthority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c)
Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty.
PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program.
Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates.
Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated.
SURA is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law.
PREP0003891