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Remote Postdoctoral Fellow Epidemiology Jobs in Reno, NV

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... Experience as a postdoctoral researcher, research fellow, junior/assistant professor, or senior ...

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... Experience as a postdoctoral researcher, research fellow, junior/assistant professor, or senior ...

AI Training Specialist - Physics

Reno, NV · On-site +1

$80 - $150/hr

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... Experience as a postdoctoral researcher, research fellow, junior/assistant professor, or senior ...

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... Experience as a postdoctoral researcher, research fellow, junior/assistant professor, or senior ...

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... Experience as a postdoctoral researcher, research fellow, junior/assistant professor, or senior ...

Remote Postdoctoral Fellow Epidemiology information

See Reno, NV salary details

$24.9K

$58.8K

$83.3K

How much do remote postdoctoral fellow epidemiology jobs pay per year?

As of Aug 28, 2026, the average yearly pay for remote postdoctoral fellow epidemiology in Reno, NV is $58,849.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,900.00 and $66,300.00 per year, depending on experience, location, and employer.

What is a remote postdoctoral fellow in epidemiology?

A Remote Postdoctoral Fellow in Epidemiology is a researcher who has recently completed their doctoral studies and engages in advanced research in epidemiology while working remotely, often from home. Their work typically involves designing studies, analyzing data, and publishing findings related to disease patterns, causes, and prevention. Remote postdocs collaborate with research teams, contribute to grant writing, and may mentor students, all using digital communication tools. This remote setup provides flexibility while allowing fellows to contribute to important public health research.

What are the key skills and qualifications needed to thrive as a remote postdoctoral fellow in epidemiology?

To thrive as a Remote Postdoctoral Fellow in Epidemiology, you need advanced knowledge of epidemiological methods, statistical analysis, and a doctoral degree in epidemiology or a related field. Proficiency with statistical software such as R, SAS, or STATA, as well as experience with data management systems, is typically required. Strong written communication, independent problem-solving, and time management are critical soft skills for excelling in remote research environments. These skills ensure rigorous research, effective collaboration, and successful project completion in the field of epidemiology.

What are some unique challenges faced by remote postdoctoral fellows in epidemiology, and how can they be effectively managed?

Remote Postdoctoral Fellows in Epidemiology often encounter challenges related to communication and collaboration across time zones, as well as potential feelings of isolation from their research teams. To manage these, fellows can establish regular virtual meetings, utilize collaborative project management tools, and actively participate in online seminars and group discussions. Building strong relationships with mentors and peers through consistent communication is key to staying engaged and making meaningful contributions to research projects. Additionally, setting clear expectations and maintaining a structured daily routine can help remote fellows stay productive and connected.

What job categories do people searching Remote Postdoctoral Fellow Epidemiology jobs in Reno, NV look for?

The top searched job categories for Remote Postdoctoral Fellow Epidemiology jobs in Reno, NV are:

Physics Content Evaluator (LaTeX/Python)

Sparks, NV • On-site, Remote

micro1 AI
Software Development • 11 - 50 employees

$80 - $150/hr

Part-time

This job post has expired 2 days ago. Applications are no longer accepted.


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.