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Postdoctoral In Bayesian Statistics Jobs in Ashburn, VA

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Statistics Graduate Level Tutor

Fairfax, VA · Remote

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Washington, DC

$177K/yr

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

As of Aug 22, 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.

What are popular job titles related to Postdoctoral In Bayesian Statistics jobs in Ashburn, VA?

For Postdoctoral In Bayesian Statistics jobs in Ashburn, VA, the most frequently searched job titles are:

What job categories do people searching Postdoctoral In Bayesian Statistics jobs in Ashburn, VA look for?

The top searched job categories for Postdoctoral In Bayesian Statistics jobs in Ashburn, VA are:

What cities near Ashburn, VA are hiring for Postdoctoral In Bayesian Statistics jobs?

Cities near Ashburn, VA 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 Ashburn, VA as of August 2026, with employment types broken down into 79% Full Time, 18% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $60,356 per year, or $29 per hour.

Senior Survey Research Statistician

Gallup

Washington, DC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Design the statistical foundations of research that informs national policy and earns public trust.
As a senior survey research statistician at Gallup, you will serve as a methodological leader and trusted architect of survey research for Gallup's most demanding U.S. clients, including federal government agencies, large national nonprofits, and leading academic and research institutions. These engagements require the highest standards of rigor, transparency and credibility, and your expertise will directly shape the design systems and quality frameworks that deliver on that promise.
What You'll Do
  • Lead the design and execution of complex survey research programs, including probability-based and address-based sampling, push-to-web and multimode data collection strategies, probability panel operations (both cross-sectional and longitudinal), and advanced weighting and calibration methodologies for probability and nonprobability samples.
  • Apply Bayesian approaches and small area estimation techniques to address sub-national and hard-to-reach population inference challenges.
  • Own the statistical design process end-to-end: crafting sampling plans in compliance with OMB standards and federal statistical agency norms, developing survey-specific variance estimation and imputation of missing data methods, implementing data confidentiality/disclosure procedures, producing audit-ready technical documentation, and communicating methods and findings with authority to both technical and non-technical stakeholders.
  • Mentor analysts and junior statisticians, contribute to Gallup's internal methodological standards, and play a visible role in quality assurance across research programs as a senior member of the team.
  • Contribute across Gallup's broad range of analytical methods, from traditional statistical approaches including regression, analysis of variance and generalized linear models to modern machine learning techniques.

Who We Want
  • Technically skilled and experienced statisticians with deep expertise in modern survey design - statisticians who command the full spectrum, from sampling theory to Bayesian inference, and can navigate complex, multi-stakeholder research environments
  • Strategic problem-solvers with a track record of peer-reviewed scholarship, federal and large-scale applied research, and a reputation for advancing the rigor of the field
  • Self-motivated collaborators who translate sophisticated methodology into accessible language for federal program officers, nonprofit leaders and academic partners, and who produce documentation that withstands scrutiny
  • Dedicated achievers who elevate the work of those around them, build institutional knowledge, and hold themselves and their teams to the highest standards of transparency and integrity

What You Need
Required
  • Ph.D. in statistics, survey methodology, biostatistics or a closely related quantitative field
  • At least 12 years of applied survey research or quantitative research experience, including experience with federal and/or state government survey programs
  • Expert-level proficiency in R and/or Python
  • Knowledge of AAPOR standards on calculation and interpretation of survey response rates
  • Knowledge of imputation of missing data techniques, including multiple imputation
  • Experience designing and implementing Non-Response Bias studies in accordance with OMB guidelines
  • Familiarity with use of machine learning techniques in survey methodology
  • Demonstrated ability to contribute to proposal writing in response to Request for Proposals (RFPs)
  • Demonstrated ability to produce audit-ready technical documentation and communicate complex methods to non-technical stakeholders
  • A commitment to working on-site at Gallup's Washington, D.C., office at least three days per week required
  • Eligibility to work in the United States required; this position is not eligible for employment visa sponsorship

Strongly Preferred
  • Working knowledge of SAS desirable
  • Demonstrated expertise in the following areas: address-based sampling (ABS) design, push-to-web and multimode survey methodology, probability and nonprobability sample calibration and weighting, Bayesian methods and small area estimation; familiarity with other areas also strongly preferred
  • Experience designing and operating probability-based panels (cross-sectional and/or longitudinal)
  • Knowledge of OMB standards and federal statistical agency norms and reporting requirements
  • Peer-reviewed publications in survey methodology or a related applied field
  • Experience mentoring junior statisticians and analysts

What You'll Experience
  • Mission-driven work: Make a meaningful difference in the world with your unique contributions, commitment to service and exceptional outcomes.
  • An empowering culture: Collaborate with smart, passionate people who love what they do and welcome your ideas, perspectives and experiences.
  • Learning and development: Grow in your career as we invest in what you do best, encourage curiosity and create an environment where it's safe - and expected - to challenge the status quo.
  • Brand strength, startup energy: Thrive in an innovative environment backed by a trusted brand.
  • A vibrant workplace: Enjoy access to exciting public-facing events and our hub for thought leadership in our global headquarters in Washington, D.C. - nestled in the nation's capital and steps away from the National Mall and other historic landmarks.

About Gallup
At Gallup, we change the world, one client at a time, through extraordinary analytics and advice on everything important facing humankind. Learn more about our work and life at Gallup.
Gallup offers a robust benefits package that includes medical, dental, vision, life and other insurance options; a fully vested 401(k) retirement savings plan with company matching; an employee stock ownership program; mass transit reimbursement; family-building benefits; an employee assistance program; and various reimbursements and activities that enhance our associates' wellbeing. We also offer an estimated annual salary range of $175,000-$190,000 for this role. Salaries are based on a variety of factors, including an individual's education, experience and skills.
Gallup is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender identity, or any other legally protected basis, in accordance with applicable law.
To review Gallup's Privacy Statement, please click this link: https://www.gallup.com/privacy. This privacy policy is meant to help you understand what information we collect, why we collect it, and how you can update, manage and delete your information. Your application and the information you provide will be processed and stored in the United States.
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