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Postdoctoral In Bayesian Statistics Jobs in Ashburn, VA

Meta

Competitive Intelligence Lead

Washington, DC · On-site

$177K/yr

Proven experience with statistical analysis including causal inference (e.g., randomized control trials, quasi-experimentation such as synthetic control, diff-in-diff, meta-analyses), and/or bayesian ...

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

As of Sep 15, 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 Researcher

Gaithersburg, MD • On-site

National Cancer Institute (NCI)
51 - 200 employees
Learn more about National Cancer Institute (NCI)external

Other

Posted 10 days ago

Job description

A Post-Doctoral Research Fellow position is available in the Amundadottir Lab at the Division of Cancer Epidemiology and Genetics, the National Cancer Institute, the NIH. The core focus of our lab is to interrogate the mechanisms by which inherited risk variants predispose individuals to pancreatic ductal adenocarcinoma (PDAC). With the results of a new GWAS study in hand (from 38,000 PDAC patients and over 2 million control subjects) we are embarking on large scale genomic screens to study the underlying biology of risk in the presence of inflammatory signals that mimic known PDAC risk factors (e.g., pancreatitis, obesity, T2D and smoking).

The Amundadottir lab is seeking a highly qualified and motivated Post-Doctoral Fellow to study inherited risk loci from ongoing gene mapping projects (GWAS, TWAS etc). The applicant will utilize primary pancreatic cell populations from organ donors as well as induced pancreatic organoid cultures (iPSC-derived) as well as both large scale (across all risk signals) and focused (at specific loci) genomic screens to identify target genes and mechanisms by which inherited variation influences PDAC risk.

This position provides the opportunity to work collaboratively with other NCI research groups focusing on exocrine pancreatic gene regulatory networks, the use of genomic approaches in primary human pancreatic organoid cultures, and statistical genetics approaches.

Prior experience with large-scale genomics screens, primary cell models, high-throughput, sequencing technologies, and computational analyses is helpful but not required. Curiosity, creativity, scientific independence, rigor, and enthusiasm are more important.

Candidates should have (or expect to receive), a Ph.D. or an M.D./Ph.D. with less than 5 years of experience in an academic or industry setting. Strong communication skills, intellectual curiosity, and the ability to work both independently and collaboratively are essential.

The Amundadottir Lab is committed to mentorship and career development. Postdoctoral associates will receive support in developing an independent research vision, publishing impactful work, applying for fellowships and grants, presenting at conferences, mentoring trainees, and preparing for future careers in academia, industry, or related fields.

Current Research Areas
  • Identifying germline variants that influence PDAC risk
  • Defining gene regulatory mechanisms and pathways underlying PDAC risk signals
  • Characterizing molecular QTLs (eQTLs, sQTLs, meQTLs, and caQTLs) in primary purified exocrine pancreatic cell populations and organoids
  • Defining genetic regulation of master regulators, including transcription factors and other key gene regulatory proteins
  • Developing and applying primary human pancreatic organoid and iPSC models to investigate mechanisms of inherited PDAC risk
  • Defining how cellular stress and inflammatory signaling influence the effects of inherited PDAC risk variants
  • Functional genomic screens at inherited risk signals for PDAC
  • Massively Parallel Reporter Assays (MPRA) – genome wide and focused at specific risk loci
  • CRISPR/Cas9 perturbation screens - both genome wide and focused on specific risk signals
  • CRISPR/Cas9 editing of candidate functional risk variants
  • Primary pancreatic organoid cultures and their genetic manipulation
  • Human iPSC differentiation and genetic manipulation
  • Inducible gene expression and knockdown systems
  • Proteomics and functional assessment of coding and noncoding variants (i.e., oligo pulldown – proteomics) from GWAS and other gene mapping approaches.
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