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Postdoctoral In Bayesian Statistics Jobs in Virginia

Quantitative Risk Modeler

Vienna, VA · Hybrid

$55 - $71.25/hr

Doctorate degree in mathematics, physics, or statistics. Advanced knowledge in probabilistic theory ... Advanced knowledge of principles of algorithmic, Bayesian, Nash, and other related game theory ...

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Postdoctoral In Bayesian Statistics information

What are the key skills and qualifications needed to thrive as a Postdoctoral Researcher in Bayesian Statistics, and why are they important?

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 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 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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What job categories do people searching Postdoctoral In Bayesian Statistics jobs in Virginia look for? The top searched job categories for Postdoctoral In Bayesian Statistics jobs in Virginia are:
What cities in Virginia are hiring for Postdoctoral In Bayesian Statistics jobs? Cities in Virginia with the most Postdoctoral In Bayesian Statistics job openings:
Postdoctoral Research Associate, School of Data Science

Postdoctoral Research Associate, School of Data Science

University of Virginia

Charlottesville, VA • On-site

Full-time

Medical, Dental, Vision, Life, PTO

Posted 19 days ago


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Job description

About the School
The University of Virginia School of Data Science-the first of its kind in the nation-advances discovery, innovation, and societal impact through collaborative, open, and responsible data science research and education. Founded in 2019, the School brings together expertise across business, computation, engineering, humanities, law, mathematics, social sciences, statistics, and law to address complex, real-world challenges. Its academic offerings include a B.S. in Data Science, an undergraduate minor, residential and online M.S. in Data Science programs, and a Ph.D. in Data Science, all designed to prepare students for a rapidly evolving data-driven world.
About the Position
The Human + AI Design Lab at the University of Virginia's School of Data Science seeks a full-time postdoctoral research fellow. This scholar will work closely with Dr. Nur Yildirim on research at the intersection of human-AI interaction and radiology. The selected candidate will translate insights from prior stakeholder research into design requirements for a dashboard tool that supports radiologists in reviewing and editing AI-generated medical imaging reports. The postdoc will then design, build, and iteratively refine this tool in close collaboration with clinical stakeholders. The postdoc will also design and conduct evaluation studies with radiologists at UVA Health.
The ideal candidate will have experience with system development, human-AI interaction, and empirical evaluation. Research responsibilities will include designing a study, collecting and analyzing data, conducting literature reviews, and writing academic publications.
Key Responsibilities
  • Translate findings from stakeholder research into design requirements and workflows for a radiology AI reporting dashboard
  • Meet regularly with PI and the project team to ensure progress on system development
  • Design and build the dashboard iteratively, incorporating feedback from radiologists and other collaborators
  • Design and conduct evaluation studies with radiologists at UVA Health
  • Contribute to academic publications as a lead or co-author

Minimum Qualifications
  • Ph.D. in Human-Computer Interaction, Computer Science, Information Science or a related field; conferred by the start date

Preferred Qualifications
  • Experience translating research findings into design requirements
  • Experience building data-driven interactive systems
  • Experience designing and conducting user studies or evaluative research
  • Strong project management skills
  • Experience working with clinicians, healthcare professionals, or other domain experts
  • Familiarity with AI/ML systems, particularly in healthcare contexts

Physical Demands
This is primarily a sedentary job involving extensive use of desktop computing. The job does occasionally require traveling some distance to attend meetings and programs.
Position Details
This position will remain open until it is filled. This is a full-time in-person position at the School of Data Science at the University of Virginia in Charlottesville, VA. The initial appointment is for one year; (this is a term-limited restricted position) however, the appointment may be renewed for an additional year contingent upon funding and satisfactory performance. This is an exempt level, benefited position. The University will perform background checks on all hires (if required) prior to employment. Applicants must be currently authorized to work in the United States.
A shared office in the School of Data Science will be arranged. Hybrid work is acceptable for this role, following the UVA Remote Work Policy and with supervisor approval. This position has the option of working remotely; however, candidates must be able to conduct work in the United States. Employment outside of the United States or from a U.S. territory is not allowable. Applicants must be eligible to be employed in the United States. This position is not eligible for immigration sponsorship.
Anticipated Start Date: Summer 2026
Health and Other Benefits (visit Health and Other Benefits for additional information)
  • UVA Health Plan: the choice between 3 different health plans
  • Vision Coverage
  • Dental Plan
  • Benefit Savings Plans
  • Life Insurance
  • Disability Benefits
  • Paid Time Off: starting with 22 days of time off per year, 12 or more holidays, 8 weeks parental leave

Education Benefits (visit Education Benefits for additional information) After six months of employment, full-time and part-time (20+ hours) employees in a benefits-eligible position are offered options of:
  • Use of up to $5250 per calendar year towards a for-credit degree program or for-credit certificate program
  • Use of up to $2000 of the total $5250 noted above per calendar year for professional development including job-related training, conferences, and initial certificate exams.

Application Process
Please apply online , and search for R0082879. Complete an application online with the following documents:
  • Resume
  • Cover letter
  • Authored publications

Upload all materials into the resume submission field; multiple documents can be submitted into this one field. Alternatively, merge all documents into one PDF for submission. Applications that do not contain all required documents will not receive full consideration.
Internal applicants: Search and apply for jobs on the UVA Internal Careers website .
References will be completed via direct reach. Please plan to provide at least three references when applying.
A background check is required and will be conducted per university policy prior to the first day of employment.
For questions about the position, contact Nur Yildirim, at ffm5xv@virginia.edu.
For questions about the application process, please contact Daniel Strong, at das6zb@virginia.edu.
For more information about UVA and the Charlottesville community, please see www.virginia.edu/life/charlottesville and https://embarkcva.com/ .
The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities.
MINIMUM REQUIREMENTS
Education: Doctoral degree
Experience: None
Licensure: None
The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Learn more about UVA's commitment to non-discrimination and equal opportunity employment .

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The University of Virginia is distinctive among institutions of higher education. Founded by Thomas Jefferson in 1819, the University sustains the ideal of developing, through education, leaders who are well-prepared to shape the future of the nation.

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