ZipRecruiter

Log In

1

Postdoctoral In Bayesian Statistics Jobs in Ashburn, VA

previous pagenext page

Showing results 21-40

All JobsPostdoctoral In Bayesian Statistics JobsPostdoctoral In Bayesian Statistics Jobs in Ashburn, VA

Postdoctoral In Bayesian Statistics information

See Ashburn, VA salary details

$25.6K

$60.4K

$85.4K

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.

Postdoctoral Fellow (PREP0003088)

Johns Hopkins University

Gaithersburg, MD • On-site

$53K - $72K/yr

Full-time

Re-posted 10 days ago

Johns Hopkins University rating

8.0

Company rating: 8.0 out of 10

Based on 71 frontline employees who took The Breakroom Quiz

190th of 621 rated colleges and universities

Job description

Description
PREP Research Associate
This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest, thus requires that such institutions must be the recipient of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform technical work that underpins the scientific research of the collaboration.
The position available is for postdoctoral research on photonic integrated circuits (PICs). The postdoctoral researcher will work with NIST staff and other associates to develop optimized photonic test structures that will be incorporated in PIC process flows and enable extraction of key physical parameters associated with PIC performance, including absorption and scattering loss and refractive index dispersion. Test structures will be optimized for used in PICs based on the silicon-in-insulator, silicon nitride, and thin film lithium niobate platforms.
Key responsibilities will include but are not limited to:
  • Perform a literature review to assess existing test structure designs and methodologies for PIC parameter extraction
  • Set up electromagnetic simulation models of existing test structure geometries to enable simulation and optimization for specific PIC platforms
  • Investigate methods to optimize test structure designs for more robust determination of photonic parameters
  • Produce layouts and work with team members on fabrication and measurement of optimized test structure designs

§ Presenting results at internal meetings, and occasional meetings with external stakeholders such as at photonics conferences or through peer-reviewed journal publications
§ Ensuring that results, protocols, software, and documentation have been archived or otherwise transmitted to the larger organization.
Qualifications
§ A PhD in Electrical and Computer Engineering, Applied Physics, or a related field
§ >3 years experience with Lumerical and Comsol electromagnetic simulation tools
§ Experience with device design and layout for photonics foundries
§ >2 years experience with photonic device characterization including linear spectroscopy
§ Familiarity with multiple scripting languages such as Matlab, C, and Python
§ Strong oral and written communication skills.
Application Instructions
Please upload the following with your application:
• CV/Resume
• 2 professional references
*Please limit C.V to 3 pages only and ONLY include a valid email address for your contact info. Please DO NOT include telephone numbers, home address or photos on your resume.
Privacy Act Statement
Authority: 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.

What Johns Hopkins University employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Johns Hopkins University logo

About Johns Hopkins University

Sourced by ZipRecruiter

Gilman believed that teaching and research go hand in hand—that success in one depends on success in the other—and that a modern university must do both well. He also believed that sharing our knowledge and discoveries would help make the world a better place. In 145 years, we haven’t strayed from that vision. This is still a destination for excellent, ambitious scholars and a world leader in teaching and research. Distinguished professors mentor students in the arts and music, humanities, social and natural sciences, engineering, international studies, education, business, and the health professions. Those same faculty members, along with their colleagues at the university’s Applied Physics Laboratory, have made us the nation’s leader in federal research and development funding every year since 1979. That’s a fitting distinction for America’s first research university, a place that has revolutionized higher education in the U.S. and continues to bring knowledge and discoveries to the world.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Baltimore, MD, US

Year founded

1876

View All Johns Hopkins University Jobs

Apply