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Statistics Postdoc Jobs in Virginia (NOW HIRING)

micro1 AI

AI Training Specialist - Physics

Richmond, VA · On-site +1

$80 - $150/hr

... Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology, Quantum Information, or Optical Materials). * Experience as a postdoctoral researcher, research fellow, junior ...

micro1 AI

Physics Modeling Expert - Remote

Suffolk, VA · Remote

$80 - $140/hr

Role Title: Physics Expert (PhD / Postdoc) Role Type: Contractor. Location: Remote micro1 is ... High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter ...

micro1 AI

Physics Modeling Expert - Remote

Richmond, VA · Remote

$80 - $140/hr

Role Title: Physics Expert (PhD / Postdoc) Role Type: Contractor. Location: Remote micro1 is ... High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter ...

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All JobsStatistics Postdoc JobsStatistics Postdoc Jobs in Virginia

Statistics Postdoc information

See Virginia salary details

$11

$34

$73

How much do statistics postdoc jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for statistics postdoc in Virginia is $34.43, according to ZipRecruiter salary data. Most workers in this role earn between $23.14 and $39.04 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in a statistics postdoc position, and why are they important?

To thrive as a Statistics Postdoc, you need an advanced degree (usually a Ph.D.) in statistics or a closely related field, with strong analytical, mathematical, and research skills. Familiarity with statistical software such as R, Python, SAS, or MATLAB, and experience in data management or computational modeling are typically expected. Excellent problem-solving skills, effective communication, and the ability to work collaboratively enhance your effectiveness in multidisciplinary research teams. These skills are important because postdoctoral researchers must generate rigorous scientific results while contributing to scholarly publications and advancing ongoing research projects.

What types of projects and collaborations can a statistics postdoc typically expect to be involved in?

As a Statistics Postdoc, you will likely contribute to a range of research projects, often partnering with faculty, graduate students, and professionals from diverse disciplines such as public health, engineering, or biology. These collaborations may involve developing new statistical methodologies, analyzing large or complex data sets, and publishing findings in peer-reviewed journals. You may also have opportunities to mentor junior researchers and present your work at conferences. This collaborative and dynamic environment offers valuable experience for building a strong academic or industry-focused research career.

What is a statistics postdoc?

A Statistics Postdoc is a temporary research position for individuals who have recently earned a Ph.D. in statistics or a related field. It typically involves conducting advanced research, developing new statistical methods, analyzing complex data, and collaborating with faculty and other researchers. Postdocs may also teach, publish papers, and contribute to grant writing. The position helps early-career researchers gain experience before pursuing faculty or industry roles.

What are popular job titles related to Statistics Postdoc jobs in Virginia?

For Statistics Postdoc jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Statistics Postdoc jobs in Virginia look for?

The top searched job categories for Statistics Postdoc jobs in Virginia are:

Statistics Postdoc jobs near you
Infographic showing various Statistics Postdoc job openings in Virginia as of August 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $71,611 per year, or $34.4 per hour.

Physics Content Evaluator (LaTeX/Python)

micro1 AI

Norfolk, VA • On-site, Remote

$80 - $150/hr

Part-time

Posted 12 days ago

Job description

Role Title: Physics Expert (Postdoc / Junior professor)


Role Type: Contractor


Location: Remote (US, Canada, UK focused)


micro1 is engaging Physics Experts (Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the science and technology sector. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Critically evaluate and review physics solutions, mathematical derivations, and theoretical arguments generated by researchers or AI platforms.
  2. Detect errors, unjustified steps, missing assumptions, dimensional inconsistencies, and weaknesses in logic or methodology.
  3. Delineate between substantive scientific issues and stylistic or cosmetic matters, providing technically precise written feedback.
  4. Articulate and document the reasoning behind any identified flaws, ensuring actionable guidance for improvement.
  5. Recognize when correct reasoning can be optimized, and offer suggestions to sharpen or clarify the argument.
  6. Utilize LaTeX, SymPy, Python, and Jupyter to independently verify or counter-check scientific claims as appropriate.
  7. Deliver structured feedback designed to support iterative enhancement of submitted work and project outcomes.


Preferred Qualifications

  1. PhD in physics and an active record of independent research within a specialized subfield (e.g., High Energy/Mathematical Physics, Biophysics/Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology, Quantum Information, or Optical Materials).
  2. Experience as a postdoctoral researcher, research fellow, junior/assistant professor, or senior research scientist.
  3. Recent (last ~5 years) representative publications in the relevant subfield, with arXiv or DOI links.
  4. Advanced proficiency with LaTeX, SymPy, Python, and Jupyter for theoretical modeling and computational validation.
  5. Demonstrated skill in reviewing the work of others—through peer review, supervision, dissertation committees, or group seminars.
  6. Exceptional written communication skills with the ability to convey nuanced, constructive feedback with technical rigor.
  7. Reliable access to high-speed internet and a computer suitable for rigorous technical work.

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