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Postdoctoral In Bayesian Statistics Jobs in Ashburn, VA

KBR

Data Engineer

Chantilly, VA · On-site

$100K - $124K/yr

Advanced Statistical knowledge and analysis methods (e.g., Bayesian Statistics, multivariate analysis, machine learning techniques) * Experience in analytical tool development, identification, and ...

KBR, Inc.

Data Engineer

Chantilly, VA · On-site

$100K - $124K/yr

Advanced Statistical knowledge and analysis methods (e.g., Bayesian Statistics, multivariate analysis, machine learning techniques) * Experience in analytical tool development, identification, and ...

KBR

Data Engineer with Security Clearance

Chantilly, VA · On-site

$100K - $124K/yr

Advanced Statistical knowledge and analysis methods (e.g., Bayesian Statistics, multivariate analysis, machine learning techniques) * Experience in analytical tool development, identification, and ...

KBR Careers

Data Engineer

Chantilly, VA · On-site

$100K - $124K/yr

Advanced Statistical knowledge and analysis methods (e.g., Bayesian Statistics, multivariate analysis, machine learning techniques) * Experience in analytical tool development, identification, and ...

New

Kids for the Future

Statistician SME IV

Silver Spring, MD · On-site

$120K - $167K/yr

Doctorate (PhD) in Statistics, Mathematics, or a related field. * At least 13 years of full-time postdoctoral work experience conducting complex statistical analyses. * At least 3 years of full-time ...

Castalia Systems

Data Engineer, Jr

Chantilly, VA · On-site

$150K - $160K/yr

Advanced Statistical knowledge and analysis methods (e.g., Bayesian Statistics, multivariate analysis, machine learning techniques). * Experience in analytical tool development, identification, and ...

Castalia Systems

Data Engineer, Jr

Chantilly, VA · On-site

$150K - $160K/yr

Advanced Statistical knowledge and analysis methods (e.g., Bayesian Statistics, multivariate analysis, machine learning techniques). * Experience in analytical tool development, identification, and ...

Castalia Systems

Data Engineer, Jr

Chantilly, VA · On-site

$150K - $160K/yr

Advanced Statistical knowledge and analysis methods (e.g., Bayesian Statistics, multivariate analysis, machine learning techniques). * Experience in analytical tool development, identification, and ...

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Postdoctoral In Bayesian Statistics information

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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 Ashburn, VA is $60,356.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,100.00 and $68,000.00 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.

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Postdoctoral In Bayesian Statistics jobs near you
Infographic showing various Postdoctoral In Bayesian Statistics job openings in Ashburn, VA as of September 2026, with employment types broken down into 2% Internship, 79% Full Time, 17% Part Time, and 2% Contract. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution, with an average salary of $60,356 per year, or $29 per hour.

Postdoctoral Associate: Nanopore Spectroscopy for Single-Molecule Biodosimetry

Gaithersburg, MD • On-site

VS-Postdoc
See more jobs at VS-Postdocexternal

Other

Posted 3 days ago

New

Job description

2026-09-07

Postdoctoral Associate: Employer

Biophysical and Biomedical Measurement Group - NIST

Location

Gaithersburg, Maryland

Job Type

Postdoctoral

Employment - Hours

Full time

Duration

Fixed term

Qualification

PhD

Sector

Government

The Biophysical and Biomedical Measurement Group at NIST (Gaithersburg, MD)is seeking a postdoctoral research associate to develop nanopore spectroscopymeasurements of ionizing-radiation damage to polymers and nucleic acids.

This project builds on recent NIST work demonstrating single-moleculebiodosimetry using resistive-pulse nanopore measurements of radiation-inducedDNA fragmentation. The next stage will expand this approach to quantify chainscission and molecular damage in standard polymers, including cellulose, and innucleic acids such as DNA and RNA. Measurements will be performed as a functionof absorbed dose and radiation quality, including radiation type, linear energytransfer (LET), dose rate, and related conditions.

The broader goal is to connect molecular damage to absorbed dose (Gy),radiation chemistry, and relative biological effectiveness (RBE), providing acomplementary molecular measurement approach for radiation dosimetry,cancer-therapy response assessment, and radiological emergency response.

This position is within the Biophysical Metrology and Inference program atNIST, which develops measurement approaches, physical models, and data-analysismethods that connect biological signals to quantitative mechanism anduncertainty.

What you will do:
  • Design and execute research on measuring ionizing-radiation dose using polymer chain scission reactions.
  • Prepare and characterize standard polymers (e.g., cellulose) and nucleicacids (DNA/RNA) for irradiation, nanopore measurement, and quantitativeanalysis.
  • Measure radiation-induced molecular damage using nanopore spectroscopy,resistive-pulse sensing, nanopipettes, and related single-molecule measurementapproaches.
  • Develop and validate dose-response curves as a function of radiationquality, including radiation type, LET, dose rate, and related experimentalconditions.
  • Analyze nanopore signals to quantify fragment-length distributions, chainscission, capture statistics, dose response, uncertainty, andreproducibility.
  • Develop physical, statistical, and computational models linking radiationchemistry, direct/indirect molecular damage, absorbed dose (Gy), andRBE-relevant response.
  • Collaborate with NIST teams in nanopore sensing, radiation dosimetry,radiation biology/chemistry, and biophysical measurement.
  • Report results through internal and external presentations andpeer-reviewed publications.
Required qualifications:
  • Ph.D. in chemistry, biochemistry, biophysics, analytical chemistry,radiation chemistry, radiation biology, biomedical engineering, physics, or aclosely related field.
  • Demonstrated experience in one or more of the following: nucleic acidchemistry, resistive-pulse sensing, nanopore spectroscopy, radiation chemistry,radiation biology, polymer/biopolymer damage, or single-moleculemeasurement.
  • Strong experimental skills and ability to develop, troubleshoot, andvalidate measurement workflows.
  • Strong data-analysis skills using Python, MATLAB, R, Origin, or similartools.
  • Strong written and oral communication skills.
Highly desired:
  • Experience with nanopores, nanopipettes, ionic-current measurements,resistive-pulse sensing, electrophysiology, or electrochemical sensing.
  • Experience with DNA/RNA sample preparation, nucleic-acid damage assays,polymer chain scission, fragmentation analysis, ormolecular-length/molecular-weight characterization.
  • Experience with ionizing radiation, dosimetry, LET/radiation quality,radiation chemistry, radiation biology, RBE, or radiotherapy-relevantmeasurements.
  • Experience with statistical analysis, dose-response modeling, signalprocessing, internal standards/calibration, and uncertainty quantification.
  • Experience with spectroscopy, chromatography, electrophoresis, fluorescencemethods, or complementary molecular characterization techniques.
  • Ability to work effectively in a multidisciplinary environment spanningchemistry, biophysics, radiation science, nanopore measurement, and biomedicalmetrology.

U.S. citizenship is preferred; for some appointment mechanisms, eligibility depends on citizenship.

Group information:

https://www.nist.gov/pml/microsystems-and-nanotechnology-division/biophysical-and-biomedical-measurement-group

Related publication:

Analytical Chemistry 97, 22004-22012 (2025)

https://doi.org/10.1021/acs.analchem.5c03303

Related NIST story:

New Technique for Measuring DNA Damage Could Improve Cancer Therapy andRadiological Emergency Response

#J-18808-Ljbffr

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